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指導教授趙天生 博士
研 究 生吳立盈
中華民國 一百零一 年 九 月
國 立 交 通 大 學
電子物理研究所
碩士論文
鍺基紅外光偵測器應用於光連接系統之
設計與建模
Design and modeling of Germanium based Photodetectors for
on-chip optical interconnects
ii
iii
鍺基紅外光偵測器應用於光連接系統之
設計與建模
Design and modeling of Germanium based Photodetectors for on-chip optical interconnects
國立交通大學
電子物理所碩士班
碩士論文
Institute of Electrophysics
National Chiao Tung University
A Thesis Submitted to Department of Electronphysics College of
Science National Chiao Tung University in Partial Fulfillment of the
Requirements for the Degree of Master of Science in Electrophysics
September 2012
Hsinchu Taiwan Republic of China
中華民國 一百零一 年 九 月
指導教授 趙天生 博士 Advisor Dr Tien-Sheng Chao
研究生吳立盈 Student Li-Ying Wu
iv
v
AbstractAs one of the crucial components in optical interconnect system germanium photodiodes(GePD)arepromisingduetoitscorrespondingbandgap(066eV)toabsorbinfra‐redlightandthecompatibilitytosilicon‐basedphotonicsandelectronicsHowevermanyresearchershaveshownthatthekeyissueofGePDishighdarkcurrentandeffortsweredonetosuppressthedarkcurrentandtoincreasegain‐bandwidthproductbyimprovingGePDefficiencyandspeedThisthesisaimstosystematicallyfindthephoto‐electricalbehaviorbasedonthesimplestP‐i‐N germanium photodiodes To investigate the main physical mechanism behind the darkcurrent of germanium photodiode analysis of temperature dependence ofexperimentallymeasureddarkcurrentisperformedAfterthatseveralguidelinestowardtheGePDstructureareprovided in this thesiswith theaidofTCADsimulationwhich canbeauseful referencewhenfabricatinghigh‐efficiencyandlow‐powerconsumptiongermaniumphotodetectorwithlateralP‐i‐Nstructure
vi
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
ii
iii
鍺基紅外光偵測器應用於光連接系統之
設計與建模
Design and modeling of Germanium based Photodetectors for on-chip optical interconnects
國立交通大學
電子物理所碩士班
碩士論文
Institute of Electrophysics
National Chiao Tung University
A Thesis Submitted to Department of Electronphysics College of
Science National Chiao Tung University in Partial Fulfillment of the
Requirements for the Degree of Master of Science in Electrophysics
September 2012
Hsinchu Taiwan Republic of China
中華民國 一百零一 年 九 月
指導教授 趙天生 博士 Advisor Dr Tien-Sheng Chao
研究生吳立盈 Student Li-Ying Wu
iv
v
AbstractAs one of the crucial components in optical interconnect system germanium photodiodes(GePD)arepromisingduetoitscorrespondingbandgap(066eV)toabsorbinfra‐redlightandthecompatibilitytosilicon‐basedphotonicsandelectronicsHowevermanyresearchershaveshownthatthekeyissueofGePDishighdarkcurrentandeffortsweredonetosuppressthedarkcurrentandtoincreasegain‐bandwidthproductbyimprovingGePDefficiencyandspeedThisthesisaimstosystematicallyfindthephoto‐electricalbehaviorbasedonthesimplestP‐i‐N germanium photodiodes To investigate the main physical mechanism behind the darkcurrent of germanium photodiode analysis of temperature dependence ofexperimentallymeasureddarkcurrentisperformedAfterthatseveralguidelinestowardtheGePDstructureareprovided in this thesiswith theaidofTCADsimulationwhich canbeauseful referencewhenfabricatinghigh‐efficiencyandlow‐powerconsumptiongermaniumphotodetectorwithlateralP‐i‐Nstructure
vi
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
iii
鍺基紅外光偵測器應用於光連接系統之
設計與建模
Design and modeling of Germanium based Photodetectors for on-chip optical interconnects
國立交通大學
電子物理所碩士班
碩士論文
Institute of Electrophysics
National Chiao Tung University
A Thesis Submitted to Department of Electronphysics College of
Science National Chiao Tung University in Partial Fulfillment of the
Requirements for the Degree of Master of Science in Electrophysics
September 2012
Hsinchu Taiwan Republic of China
中華民國 一百零一 年 九 月
指導教授 趙天生 博士 Advisor Dr Tien-Sheng Chao
研究生吳立盈 Student Li-Ying Wu
iv
v
AbstractAs one of the crucial components in optical interconnect system germanium photodiodes(GePD)arepromisingduetoitscorrespondingbandgap(066eV)toabsorbinfra‐redlightandthecompatibilitytosilicon‐basedphotonicsandelectronicsHowevermanyresearchershaveshownthatthekeyissueofGePDishighdarkcurrentandeffortsweredonetosuppressthedarkcurrentandtoincreasegain‐bandwidthproductbyimprovingGePDefficiencyandspeedThisthesisaimstosystematicallyfindthephoto‐electricalbehaviorbasedonthesimplestP‐i‐N germanium photodiodes To investigate the main physical mechanism behind the darkcurrent of germanium photodiode analysis of temperature dependence ofexperimentallymeasureddarkcurrentisperformedAfterthatseveralguidelinestowardtheGePDstructureareprovided in this thesiswith theaidofTCADsimulationwhich canbeauseful referencewhenfabricatinghigh‐efficiencyandlow‐powerconsumptiongermaniumphotodetectorwithlateralP‐i‐Nstructure
vi
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
iv
v
AbstractAs one of the crucial components in optical interconnect system germanium photodiodes(GePD)arepromisingduetoitscorrespondingbandgap(066eV)toabsorbinfra‐redlightandthecompatibilitytosilicon‐basedphotonicsandelectronicsHowevermanyresearchershaveshownthatthekeyissueofGePDishighdarkcurrentandeffortsweredonetosuppressthedarkcurrentandtoincreasegain‐bandwidthproductbyimprovingGePDefficiencyandspeedThisthesisaimstosystematicallyfindthephoto‐electricalbehaviorbasedonthesimplestP‐i‐N germanium photodiodes To investigate the main physical mechanism behind the darkcurrent of germanium photodiode analysis of temperature dependence ofexperimentallymeasureddarkcurrentisperformedAfterthatseveralguidelinestowardtheGePDstructureareprovided in this thesiswith theaidofTCADsimulationwhich canbeauseful referencewhenfabricatinghigh‐efficiencyandlow‐powerconsumptiongermaniumphotodetectorwithlateralP‐i‐Nstructure
vi
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
v
AbstractAs one of the crucial components in optical interconnect system germanium photodiodes(GePD)arepromisingduetoitscorrespondingbandgap(066eV)toabsorbinfra‐redlightandthecompatibilitytosilicon‐basedphotonicsandelectronicsHowevermanyresearchershaveshownthatthekeyissueofGePDishighdarkcurrentandeffortsweredonetosuppressthedarkcurrentandtoincreasegain‐bandwidthproductbyimprovingGePDefficiencyandspeedThisthesisaimstosystematicallyfindthephoto‐electricalbehaviorbasedonthesimplestP‐i‐N germanium photodiodes To investigate the main physical mechanism behind the darkcurrent of germanium photodiode analysis of temperature dependence ofexperimentallymeasureddarkcurrentisperformedAfterthatseveralguidelinestowardtheGePDstructureareprovided in this thesiswith theaidofTCADsimulationwhich canbeauseful referencewhenfabricatinghigh‐efficiencyandlow‐powerconsumptiongermaniumphotodetectorwithlateralP‐i‐Nstructure
vi
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
vi
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
vii
摘要
在取代積體電路銅導線的光連接傳輸系統中紅外光偵測器是光學訊號接收端的重要
元件其中鍺的能隙(066 eV) 使得鍺基元件能夠有效吸收紅外光訊號鍺基紅外
光偵測器近年來成為許多研究的題目文獻指出鍺基紅外光偵測器的主要缺點是暗
電流過高造成訊號干擾以及額外功率消耗本篇論文以水平 P-i-N 結構的鍺基紅外
光偵測器為研究對象首先透過變溫量測與分析得知在室溫以及小偏壓操作下暗
電流來自於 Shockley-Read-Hall 載子產生過程 (SRH generation)接著利用 TCAD 模
擬軟體取用上述 SRH 模型模擬不同幾何參數對於偵測器之暗電流光電流以及傳
輸速度的影響探討各參數的權衡與最佳化為未來提供製造低雜訊高效率以及高
頻寬的鍺基紅外光偵測器的方針
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
viii
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
ix
Foreword IrsquodliketoacknowledgethecontributionoftwopersonstothisthesisOneisProfMarcHeynsthe thesis supervisor whose advisement enables this thesis more physically logical One is Dr Geert Hellings my daily supervisor I deeply appreciate him for his generous teaching continued guidance and endless patience I am also grateful to members in KULeuven University and National Chiao‐Tung Universitywhoare in chargeof thedual‐degreeMasterprogramwhichprovidedme suchawonderfulopportunitytostudyhereFor the two‐yearresearchdays inTaiwan Irsquod like toacknowledgeProfTien‐ShengChaowhoisnotonlyanencouragingteacherbutalsoasupportingmentorInthefreeandrespectfulresearchenvironmentheprovidesIamluckytomeetallthemembersin theAdvancedSemiconductorDeviceFabrication andMeasurementLab and the timeswespenttogetherstudyinganddoingexperimentsinthecleanroomaredefinitelymemorableFinallyabig thankyougoes tomydear familywherever inTaiwanorBelgium Inever stopfeelingtheirimmediateloveandsupport
Li‐YingWu
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
x
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
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[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
xi
TableofContentsAbstract v
摘要 vii
Foreword ix
TableofContents xi
Listoffiguresandtables xiii
Listoffigures xiii
ListofTables xv
Chapter1 Introduction 1
11OpticalInterconnectASystemOverview 1
111History 1
112Photodiodesinopticalinterconnectsystem 2
12WorkingprincipleofP‐i‐NGePD 3
Chapter2 ExperimentalInvestigationofDarkCurrentinGermaniumphotodiodes 5
21DarkCurrentMechanismsinGePhotodiode 5
211DiffusionCurrents 5
212SRHcurrent 7
213TunnelingandImpactIonization 9
22MeasurementsofGermaniumphotodiodes 10
221StructureofGePD 10
222Temperaturedependencemeasurement 11
23TemperatureDependenceofdarkcurrent 13
24Conclusion 19
Chapter3 DarkCurrentinGermaniumphotodiodesTCADsimulation 21
31TCADModels 21
311DefaultModelsinTCAD(includingDiffusion) 21
312SRHTheShockley‐Read‐HallModel 21
32BasestructureformedinTCAD 22
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
xii
33TCADOptimizationofDarkCurrent 26
331Alterationsinthickness 26
332Alterationsinwidth 29
333Alterationsinimplantenergy 32
34Conclusion 33
Chapter4 QuantumEfficiencyOptimization 35
41OpticalGenerationanddefinitionofQuantumEfficiency 35
411OpticalGenerationMethod 35
412DefinitionofQuantumEfficiency(QE) 37
42QEinrespectofStructuralparameters 38
421QEdependenceonthicknessandwidthofGePD 38
422QEdependenceondopingseparation 40
43QEimprovementbyJunctionengineering 42
44Conclusion 44
Chapter5 TransientResponseOptimization 45
51TheRoleofTransientResponse 45
52Speedinrespectofstructuralparameters 47
53Lengtheffect 50
531Capacitanceinlengthdirection 50
532Absorptioninlengthdirection 51
54Frequencyresponse 53
541Bitstreaminput 53
542Eyediagram 53
55Conclusion 55
Chapter6 Conclusion 57
Appendices 61
AppendixACommandcodesinTCADsimulator 63
Sprocess 63
SdeviceforIV 67
SdeviceforC‐V 70
Sdevicefortransient 72
Bibliography 75
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
xiii
Listoffiguresandtables
Listoffigures
Fig1‐1Systemoverviewofopticalinterconnection[4]2
Fig1‐2IllustrationandbanddiagramofalateralPiNGePDinreversebias3
Fig2‐1Energybanddiagramofp‐njunctioninreversebias6
Fig2‐2Shockley‐Read‐Hallgenerationprocess[9]7
Fig2‐3Banddiagramandtunnelingprocessofheavilydopeddiodes[9][15]9
Fig2‐4Structureofgermaniumphotodiode10
Fig2‐5LargedistributionofdarkcurrentvsLengthofGePD12
Fig2‐6TemperaturedependenceofI‐Vcharacteristics(withparasiticleakage)12
Fig2‐7TemperaturedependenceofI‐Vcharacteristics13
Fig2‐8Activationenergyversusreversebiasfromexperimentaldata14
Fig2‐9ReverseCurrents(Amicrom)versus1000T(K‐1)16
Fig2‐10Totalreversecurrentsubtractedbydiffusioncurrent17
Fig2‐11Variationofrecombinationlifetimeversuseffectivedopantconcentration[18]18
Fig3‐1SimulatedstructureofgermaniumphotodiodeinTCADshowingdopantprofilesmeshing22
Fig3‐2Simulatedstructurewithexponential(top)andconstant(bottom)defectdistributionprofile23
Fig3‐3DarkcurrentexperimentdataandresultsofExponentialdefectprofile(Top)simulationandconstantdefectprofile(bottom)simulation24
Fig3‐4Defectdeterminedforwardswingbehaviorindicatedaccuracyofthedefectdensitylevelacquiredfromsimulationofdarkcurrent25
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
xiv
Fig3‐5SimulateddarkcurrentasafunctionofTotalGethickness27
Fig3‐6Trapnumbercomparisonbetweenconstantandexponentialdefects28
Fig3‐7Effectsofthewidthofgermaniumondarkcurrent29
Fig3‐8Darkcurrentofdifferentdiodesversusdopingseparationratio30
Fig3‐9Electricfielddistributionindiodeswithdifferentdopingseparation31
Fig3‐10Darkcurrentversusimplantenergyratio32
Fig3‐11Electricfielddistributionofdiodeswithdifferentjunctiondepth32
Fig4‐1The2Dsingle‐modeinfraredlightintensitydistributioninsidea2DGermaniumstructureof2‐μm‐wideand02‐μm‐thick35
Fig4‐2Two‐dimGaussianopticalsignalintheTCADsimulator36
Fig4‐3 Lightdistributioninphotodiodeswithdifferentwidthandthickness38
Fig4‐4EffectsofGethicknessandwidthonQE39
Fig4‐5QEdependenceondopingseparation41
Fig4‐6DarkcurrentandQEasafunctionofimplantenergy42
Fig4‐7Deepjunctionsandshallowjunctions43
Fig4‐8Effectsofdeep‐and‐shallowjunctionsondarkcurrentandQE43
Fig4‐9TheoptimumstructureforlowdarkcurrentandhighQE44
Fig5‐1Illustrationofrisetimedefinition45
Fig5‐2EffectivecircuitofaPINphotodiode[20][21]46
Fig5‐3C‐Vcharacteristicsofsimulatedphotodiodewithvariousstructures48
Fig5‐4SpeedofGePDisinverselyproportionaltowGe48
Fig5‐5SpeedevaluationofGePDswithdifferentWiandwGe49
Fig5‐6ParasiticCapacitanceCPDobtainedwithlengthofGePD50
Fig5‐7OpticalabsorptioncoefficientofSiGeandSiGealloys[22]51
Fig5‐8Absorptionratioversuslengthofgermaniumphotodiode52
Fig5‐9Thebitstreaminputcontainscombinationsthreebits53
Fig5‐10EyediagramoftheGePDwithspeed30GHz54
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
xv
ListofTables
Table2‐1StructuralparametersofGePD11
Table6‐1SeveralGuidelinesfordesigningGePD59
Table6‐2GePDequivalentcircuit[19][20]andacquiredvalueofcomponents60
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
xvi
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
1
Chapter1 IntroductionThe objective of this thesis is to find an optimum structure of the germaniumphotodiode inside the optical interconnect system To start a system overview ofopticalinterconnectisintroducedandtheworkingprincipalofaphotodiodeisgiven
11OpticalInterconnectASystemOverview
111History
Informationprocessingreliesonlinearandnon‐lineardevicesandcircuitsforlogicand storage functions and also requires interconnections to carry the signal fromoneplace toanotherAs thecountingreduction in featuresizesonelectronicchipsleads to a larger numbers of faster devices at lower cost per device the scaling ofelectricalinterconnectionsdoesnrsquotkeepupwiththegrowthofelectricaldevicesThetraffic in long‐distance is limited by various problems of electrical wiring forexamplehighresistanceandhighparasiticcapacitanceoflongwiresThisdegradesthespeedimprovementviadevicesresearchesandglobalinterconnectswillbecomeverydifficultifpeoplekeepusingconventionalmethod[1]Theresearchforopticalinterconnectsstartingasearlyassemiconductordiodelaserhad been invented and the first idea that optical interconnects can be utilized invery‐largescale‐integration(VLSI)wasproposedandanalyzedbyGoodmanetalin1984 Same year the quantum confined Stark effect was discovered in III‐Vsemiconductor quantum wells which enables efficient high‐speed opticalmodulatorsIntegratedwaveguideversionsofsuchmodulatorsareextensivelytodayforhigh‐performanceapplications[2]Theadvantagesofusingopticalinterconnectsmakesdevelopmentattractivesuchasless distancedependency onperformance ability to have 2‐D interconnects ratherthan connect from edge and feasibility of wavelength division multiplexedinterconnectswithoutusinganyelectricalmultiplexingcircuitryMoredetailswereenumeratedinliteratures[1][3]
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
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[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
2
112Photodiodesinopticalinterconnectsystem
OpticalinterconnectsrequiretheintegrationofvarioustechnologiesFig1‐1showsthe overview of a simple set of photonic transceiver and receiver [4] whereelectrical‐optical signal transition happens Left‐hand side of Fig 1‐1 is a siliconmodulatorconsistsofopticalringresonatorsThemodulatortakeselectricalsignalsand monochromic laser lights as inputs and generates optical signals of infraredfrequencyasopticaldatawhich thenpassages througha siliconwaveguide routedon the chip and arrives at the destination chip At right‐hand side a germaniumphotodetectoristheretocapturetransmittedopticaldataandthentransferopticalsignalsintopulsesofelectricalcurrents
Fig 1‐1 System overview of optical interconnection[4]
As one of the crucial components in optical interconnect system germaniumphotodetectorsorGermaniumphotodiodes(GePDs)havebeenbroadlyinvestigatedduetoitscorrespondingbandgaptoabsorbinfraredlightat155‐μmwavelengthandthe compatibility to silicon‐based photonics and electronics GePDs monolithicallyintegrated with silicon transistor technology is viewed as the essential part ofinfraredopticalinterconnectssystemHowevermany researchershave shown that the issue technology issueofGePD ishigh dark current due to the 42mismatch betweenGe and Si and effortsweredonetosuppressthedarkcurrentbymeansofimprovingfabricationprocess[5][6]ToimproveGePDefficiencyandspeedadvancedGePDaredevelopedtoincreasethephotocurrent in regular P‐i‐N GePD by utilizing multiplication of carriers forexample Avalanche photodetector (APD) and separate‐absorption‐charge‐multiplication(SACM)photodiode[7]Literature[8]proposedthatcreationofnon‐uniformelectric field ingermaniumAPDviananoelectricengineering increasesthegain‐bandwidthproductThe purpose of this thesis is to systematically find the photo‐electrical behaviorbased on the simplest P‐i‐N germanium photodiodes but with various structuralparameterswiththeaidofTCADsimulatorsothatabasicguidelinecanbeprovidedfor the future advanced researches In next section working principles of P‐i‐Ngermaniumphotodiodeisintroduced
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
3
12WorkingprincipleofP‐i‐NGePD
Fig 1‐2 shows the illustration and the band diagram of a lateral P‐i‐N GePD inreverse bias Green lines represent the conduction and valence band edge atequilibrium and distance between ‐Xp0 and Xn0 represent the depletion width atequilibriumWhenareversebiasisapplieddepletionretrievesawayfromthecenterofdiode (tondashXrsquop0 andXrsquon0) and theexposed ionizeddopantsprovideextra electricfieldswhichcanbeseenfromtheincreasingslopeofbandedgesWhenphotodiode isunderphoton illuminationphotonswithsufficientenergyandcorrect momentum can excite valence electrons hence extra free electrons andcorrespondingfreeholesaregeneratedAt intrinsicregionthesephoton‐generatedexcesscarriersaredriftedbytheelectricfieldarousedbyreversebiasElectronsaredriven tonsideandholesdriven topsideCurrentgenerated fromthisprocess iscalledphotocurrentThepromptphotocurrentgeneratedinthespacechargeregionisofthemaininterestthereforedepletionregionwidthcanbemadelargetohaveaphotodiodewithhighsensitivityThatrsquosthereasonP‐i‐Nphotodiodeisused[9]The current appeared without illumination is called dark current which isundesirablesinceitwouldraisetheconsumptionofpowerMechanismsbehinddarkcurrentaregiveninnextchapter
Fig 1‐2Illustration and band diagram of a lateral PiN GePD in reverse bias
Inthefollowingchaptersoperationconditionsareallconsideredunderareversebiasofabsolutevalue05voltandforshortsometimesitisputas‐05V
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
4
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
5
Chapter2 Experimental
InvestigationofDarkCurrentin
GermaniumphotodiodesIn this chapter dark currents mechanisms are enumerated Next the results oftemperaturedependencemeasurementofGePDdark currents and theanalysis arepresented
21DarkCurrentMechanismsinGePhotodiode
To start with several components of photodiode dark current which result fromdifferentmechanismsareconsideredbeforeanalysisTheyarerespectivelydiffusioncurrent thermal generation current tunneling current and impact ionizationcurrent[10]Awell‐performed photodiode needs to keep its dark current low enough to avoidhighpowerconsumptionatstand‐bystageandevennoisewhenlightsignalsturnedonComparedtosilicondevicesgermaniumdiodeismorelikelytobesufferedfromhigherjunctionleakageduetoitssmallbandgap(066eV)Whatrsquosmorehighdarkcurrent leakage is the critical issue in Ge PDs technology as compared with III‐Vbasedphotodiodes Therefore clarifying of themain recombinationmechanisms isindispensableforofGephotodiodeelectricalbehaviorsimulationandfurtherforGephotodiode optimization In this chapter the physical mechanisms behind darkcurrentareviewedandtheexperimentalinvestigationofdarkcurrentisperformed
211DiffusionCurrents
Diffusion current is proportional to the gradient of the carrier concentrationevaluatedattheinterfacebetweenthedepletionandtheneutralregion[11]Energybanddiagramofap‐njunctioninreversebiasisshownasFig2‐1Forexampleinp‐typequasi‐neutral regionareas theequilibriumminorityorelectronconcentrationnp0is
Eq 2‐1
whereNA isacceptorconcentration inp‐typeregionThoseelectronswoulddiffuseton‐typeregioniftheyareclosetospace‐chargeregionhence
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
6
1 Eq 2‐2
Eq 2‐3
SinceniispositivelycorrelatedtotemperaturewecantellfromEq2‐3thatdiffusioncurrentwouldincreaseswhenrisingtemperaturewithanactivationenergyequalstothebandgapofgermanium[12]
Fig 2‐1 Energy band diagram of p‐n junction in reverse bias
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
7
212SRHcurrent
Besides diffusion current recombination‐generation current should also beconcerned Since basically photodiode operates in ‐05 volts under this reverseconditiontheelectricfieldindepletionregionsweepsholestothep‐typeregionandelectrons to n‐type region Because of the reduction in carrier concentration (np laquoni2)systemispronetogeneratemorecarrierstomeetequilibriumMany researchers have found dark current is greatly depends on the quality ofjunction layers This indicates that the generation process involves impurities orimperfections Those imperfections disrupt the lattice of semiconductor andintroduce energy levels into the band‐gap In our case most of the imperfectionscome fromdislocations at the interface of siliconwaveguide and germanium layerdue to lattice mismatch Fig 2‐2illustrates this generation process or so‐calledShockley‐Read‐Hallrecombination
Fig 2‐2 Shockley‐Read‐Hall generation process[9]
The net generation‐recombination rate U of carriers through these intermediatecentershasbeensuccessfullydescribedbyHallShockleyandbyRead[13][14]Itcanbeshownthat
Uσ σ v pn n N
σ n n exp σ p n exp Eq2‐4
whereσpandσnarethecapturecross‐sections forholesandelectronsrespectivelyvthisthethermalvelocitynistheelectronconcentrationpistheholeconcentrationNtistheconcentrationofbulkgeneration‐recombinationcentersattheenergylevelEtEiistheintrinsicFermilevelandnitheintrinsiccarrierconcentration
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
8
To summarize components of diffusion and thermal generation currents in a p‐njunctioncouldbedescribedasfollowingequation[Szesensor]
∙ Eq2‐5
whereqiselementarychargeDnistheelectrondiffusivityτnistheelectronlifetimeNA is the doping level of the p‐type region ni is the intrinsic concentration ofsemiconductor inthiscasegermaniumτgen isthegenerationlifetimeandWisthedepletionwidthAsimilarexpressionholdsforholesThe second term of Eq 2‐5 states SRH recombinationgeneration current isdependentoncarrierlifetimeτgennamelythissourceofdarkcurrentisinfluencedbythenumberofdefectsthatservedasrecombinationgenerationsites[12]More details will be discussed in section 23 while analysis of germanium darkcurrent under different temperature and reverse bias based on experimentalmeasurementispresented
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
9
213TunnelingandImpactIonization
In a diode with degenerately doped p‐n junctions tunneling can be determiningwhenreversebiasisaboveacertainvaluesincedepletionregionisrelativelynarrowinhighlydopeddiodesandhencesmallertunnelingbarrierTheprocessisshowninFig 2‐3 Tunneling current could be band‐to‐band tunneling (BTBT) and trap‐assistedtunneling(TAT)
Fig 2‐3 Band diagram and tunneling process of heavily doped diodes[9][15]
At higher applied voltages impact ionization plays a role followed by avalanchebreakdownTheavalanchebreakdownprocessoccurswhencarriersmovingacrossthe space charge region acquire sufficient energy from the electric field to createelectron‐holepairsbycollidingwithatomicelectronswithinthedepletionregion[9]Analytical model describing reverse characteristics of a p‐n diode includingtunnelingcurrentandavalanchebreakdownwaspresentedin[16]HoweverinthisthesisthestructurewediscussedisaP‐i‐Njunctionwhoseintrinsicwidth is at least 05 microm With this sufficient large tunneling barrier and theoperation condition that only under low electric field itrsquos reasonable to concludethattunnelingcurrentandimpactionizationcurrentsarenegligible
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
10
22MeasurementsofGermaniumphotodiodes
221StructureofGePD
ThestructureGePDdeviceusedinthisthesislookslikeFig2‐4inFig2‐4(bottom)silicon layer serves as an optical signal waveguide it is recessed into trapezoidalshape by etch‐back process and from Fig 2‐4(right) we can see this trapezoidalshape is formed the (111) (113) and (100) facets of silicon The taper angle (see(bottom))isapproximately30degwhichisusedtoincreasethecouplingefficiencyforlighttotransmitthroughSiGeinterface[17]LyingontopofthesiliconisthemainbodyofphotodetectorformedbygermaniumselectiveepitaxialgrowthAfterannealingandCMPprocessboronandphosphorusimplantationisappliedtoformP+andN+siderespectivelyandaftertheprocessofoxide layerdepositionandcontact‐hole formation tungstenelectrodesare filled inThe cross‐section of GePD resembles a mushroom and the ldquocaprdquo of mushroom iscalledoverlapregionOverlapregionisdesignedtoseparatetungstenelectrodesfaraway from light intensity so that light intensity loss frommetal absorption canbedecreasedAllthemeaningsofstructuralparametersarelistedinTable2‐1
Fig 2‐4 Structure of germanium photodiode (left)Top view of GePD (right)TEM structure of GePD (bottom) GePD Structure illustration with parameters
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
11
Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 StructuralparametersofGePD
222Temperaturedependencemeasurement
To analyze dark current behavior a series measurement of the current‐voltagecharacteristic with varying temperature has been done The temperaturedependence measurement is performed by HP4156 Semiconductor ParameterAnalyzer Fig 2‐6shows the I‐V characteristics of photodiode measured underdifferent temperature from‐10degC to125degCsweepinganode(connect toP+terminalofGePD)voltagefrom‐2Vto1VHoweverinFig2‐6setsofcurvesismergingtogetherasarrowedwhichmeansthatdark currents are interfered by exterior leakage path for example leakages thatcomealongtheedgeofgermaniumFurthermorethisparasiticcurrentisdifficulttobenormalizedwith lengthbecauseaswemeasured the leakage currentsofdiodeswith1020and50μmlongandthereisnocorrelationbetweencurrentandlengthAlargedistributionisshowninFig2‐5ThisphenomenonisalsodiversefromsampletosamplethroughoutthewholewaferIt is more meaningful to analyze the intrinsic behavior of leakage currents ingermaniumphotodiode after a seriesof ldquosearching for thebestdierdquomeasurementdatathatworthydiscussingisputinthe23section
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
12
Fig 2‐5 Large distribution of dark current vs Length of GePD Large distribution prevents accurate extract of dark current
Fig 2‐6 Temperature dependence of I‐V characteristics (with parasitic leakage)
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
13
23TemperatureDependenceofdarkcurrent
TheresultofmeasuringldquothebestdierdquoisshowninFig2‐7inwhichcurvesaremoresmooth compared to those interfered by parasitic leakages And then activationenergy is estimated based on Arrhenius equation (Eq 2‐6) by fitting data withexponentialfunctionintheplottingofmeasureddarkcurrentatagivenreversebiasversus1T(not shown)andextracting theexponent tocalculateactivationenergyEaateachreversebiaspoint
Fig 2‐7 Temperature dependence of I‐V characteristics
Activation energy is the energy needed for electrons to overcome process barrierTheactivationenergy fordiffusionprocess is germaniumbandgap066eV and forSRHprocesswithdeeptrapsEashouldbeclosetohalfbandgap033eVActivationenergyversusreversebiasisshowninFig2‐8
k Ae Eq2‐6
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
14
Fig 2‐8 Activation energy versus reverse bias from experimental data
Dark current is initially dominated by diffusion mechanism near zero volts and continually Shockley‐Read‐Hall generation takes place in higher reverse bias
Ea of five samples as a function of reverse bias are shown in Fig 2‐8Only the topcurve (red solid triangles) maintains above Ge half bandgap (033 eV) until ‐2Vwhich is regarded behaving as intrinsic semiconductor leakage Other four curves(smalldots)reveal that thesesamplesaremoreaffectedby leakages fromparasiticconductingpathActivation energy is dropping as reverse bias increases (goes to negativeleftdirectionasarrowed)ForthetopcurveitstartswithEaasymp06eVwhichmeansthattheaveragedarkcurrentover‐10degCto125degCisdominatedbydiffusionofminoritycarriersinsmallbiasAsreversebiasgetshigherEagraduallydropscloseto03eVwhichmeans that at higher reversebias averagedark current is subjected to SRHrecombinationprocessAnother analysis shows this trend similarly In Fig 2‐9 the logarithm of themeasured leakage current (curves with blue solid symbols) at different appliedvoltagesareplottedversus1000Ttogetherwithniandnisup2dependencies(straightlineswithopensymbols)TheinsetofFig2‐9isagainEq2‐5withfirsttermrelatedtodiffusioncurrentandsecondtermrelatedtoSRHgenerationcurrentasindicatednidependencyontemperatureisshownmoreclearlyinEq2‐7Bandgapcorrectionwith respect to temperature is taken into account when plotting of ni and nisup2dependencies
222 lowast
22 lowast
2 Eq2‐7
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
15
In Fig 2‐9 it shows that SRH generation leakage has a stronger dependence onreversebiascomparedtodiffusioncurrentItisbecausewithhigherreversebiasthediode ismoredepleted (depletion regiongetswider)whichmeansmore trapsareexposedoutasgenerationsitesresultinginhighergenerationcurrentSetsofcurvesshowa trend that dark current ofmeasuredGePD is in a combinationbehavior ofdiffusion and SRH generation Judged from the slope and tangent line SRHgenerationisthemaincomponentindarkcurrentatroomtemperature25degCwhiletheGePDisatitsoperationpoint‐05VAbove87degCdiffusioncurrentplaysaroleFig 2‐10demonstrates this more clearly which is the zoom in version of Fig 2‐9whileY‐axisisreplacedastheamountofmeasuredcurrentsubtractedbycalculateddiffusioncurrent(firsttermofEq2‐5)whichshouldgiveSRHgenerationbehaviorA neat fittingwith SRH equation lines (five parallel yellow lines) could be seen intemperature below 25degC Deviations in higher temperature and higher reversevoltageregimearesupposedtoattributetoextracurrentfromdiodeedgewhichisrandomlydistributedasshownbefore
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
16
Fig 2‐9 Reverse Currents (Amicrom) versus 1000T(K‐1)
Measured current (solid symbols) at different temperature as a function of 1000T Two straight lines with open symbols are plotted from Eq 2‐5 as in the inset with first term related to diffusion current and second term related to SRH generation current as indicated
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
17
Fig 2‐10 Total reverse current subtracted by diffusion current
Solid symbols are measured total current subtracted by pure calibrated diffusion current from Eq2‐5 and empty symbols are pure calibrated Shockley‐Read‐Hall current from equation
Lifetimes of electrons are also roughly calculated to be 006 micros Based onliterature[18]thedefectdensityofthebestdieisestimatedaround1e19cm3fromFig2‐11InChapter3defectdensitywouldbeestimatedbyTCADsimulator
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
18
Fig 2‐11 Variation of recombination lifetime versus effective dopant concentration[18]
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
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[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
19
24Conclusion
At the beginning of this chapterwe overviewedphysicalmechanisms behind darkcurrent in a germanium photodiode Section 22 describes the structure ofgermanium photodiode used in this thesis and the temperature dependencemeasurementmethodSevereparasitic leakagewasobservedonmanydevicesDueto this yield issue a meaningful analysis could only be performed onwell‐chosendevicesSubsequentlyinsection23weshowtheinvestigationofdarkcurrentingermaniumphotodiodeviaexperimentaldataFirstly from the analysis of activation energy when the bias is small the averagedarkcurrentover‐10degCto125degCisdiffusioncurrentasbiasgetsmorereversed itwouldsubjecttoSRHprocessSecondlyitcanbeverifiedthatdarkcurrentisinthecombination behavior of diffusion current and SRH generation current At roomtemperature and at thebias ‐05V SRHgeneration is themain component in darkcurrentThereisagoodqualitativeagreementbetweenformulatrendandmeasureddataThirdly froma roughestimateof carrier lifetime equivalent trapdensitiesofourbestsamplesareestimatedtobearound1E19cm3ThiswillbemorepreciselyestimatedinChap3
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
20
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
21
Chapter3 DarkCurrentin
GermaniumphotodiodesTCAD
simulationInthepreviouschapterweconcludedthatdiffusionandSRHgenerationcurrentaremainly the leakage sources of germanium photodiode In this chapter TCADsimulationisinvolvedThischapterstartswithanoverviewofmodelsthatareusedin our simulation and the base structure we build in TCAD finally we makealteration in thebasestructureandshowanoptimumstructure thathasminimumdarkcurrent
31TCADModels
311DefaultModelsinTCAD(includingDiffusion)
Physical models used to simulate germanium photodiode are presented Diffusioncurrent can be treated as the intrinsic behavior of semiconductor It is standardlyactivatedintheTCADsimulator
312SRHTheShockley‐Read‐HallModel
AsmentionedinChapter2SRHmodeldescribesrecombinationgenerationthroughdeep‐level defects in the semiconductor bandgap The position of the dominatingtrap level in the bandgap is assumed atmidgap energy level (033 eV) for Ge[19]BasicallyanexpressionofSRHisusedintermsofminoritycarrierlifetimes(τnandτp)dependentonthelocaldefectconcentration
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
22
32BasestructureformedinTCAD
Theultimatepurposeof this thesis is to findanoptimizedstructureofgermaniumphotodiode through simulation so it is important to get a base structurewhich isclosetothemeasureddiodeincludingsimilargeometryandeffectivedefectdensityand thenwecanutilize thisbasestructure tosimulate thecurrentsofphotodiodeswith alteration The inclusion of TCAD enables us to get the approximate form ofdefectdensityinthemeasuredsamplesTo form a base structure the fabrication flow which is identical to experimentalsamples is simulated via TCAD sprocess tool and the final simulated structure isshowninFig3‐1ContactsaresimulatedasidealohmiccontactandinFig3‐1theyare shown in boundary only Note that simulations are done in a two‐dimensionalGePDsothecurrentfromelectricalcharacteristicsimulationisgivenbyAmperepermicrom (Amicrom) That is in simulation the length of germanium (LGe) is alwaysconsideredas1micromonlyinSection52wewouldalterLGetoseetheeffectshappeninlengthdirection
Fig 3‐1 Simulated structure of germanium photodiode in TCAD showing dopant profiles meshing
In order to estimate the defect density inside germanium photodiodes a constantdefect distribution is introduced into simulator That is we build up a simulatedgermaniumphotodiode inwhichdefects areuniformlydistributed Subsequently adefect concentration is chosen to achievea goodagreementwithmeasurementsofthedarkreversecurrentOn the other hand since dislocations aremostly generated at SiGe interface andtendtoannihilateastheepitaxialfilmthickens[5]wealsointroduceanexponentialdefect profile into another branch of simulation by assuming that defectconcentrationisspatiallypeakedatthehetero‐interfaceandexponentiallydecayedasretreatawayfromtheinterface
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
23
Fig 3‐2 shows the simulation structure of GePD with defects distributed inexponentialprofileandconstantprofileExperimentaldataisalsonormalizedtothelengthofGePDtomakeitcomparablewithelectricalstimulationFig 3‐3shows that simulation (black line) result fits nicelywith experimental data(redopen symbols) for themostpart of reversebias rangeThedensitywhich fitsbestwithmeasurement data is equal to 5e18cm3 for constant defect profile and1e20cm3forexponentialdefectpeakvalue
Fig 3‐2 Simulated structure with exponential (top) and constant (bottom) defect
distribution profile
Exponential Defect profile
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
24
Fig 3‐3 Dark current experiment data and results of Exponential defect profile (Top) simulation and constant defect profile (bottom) simulation
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
25
Furthermore consistencynotonlyshowsup in thereverseregion it alsoshows intheforwardbiasregionbyexaminingforwardswingAsplitofdiodeswithdifferentdefectdensityhasbeensimulatedandtheirforwardswingbehaviorisshowninFig3‐4 Swingof experimental data is also calculated frommeasured I‐V curves (solidsymbols)anditcouldbeseenthatexperimentaldataandsimulationresultsareonthe same level at the defect density corresponding to the one we obtained fromreverse dark current simulation 5e18 cm‐3 Consistency shows up in two sets ofsamplesThismeansdefectdensityacquiredfromsimulationisquitereliable
Fig 3‐4 Defect determined forward swing behavior indicated accuracy of the defect density level acquired from simulation of dark current
TosummarizedwehaveestimatedthedefectdensityofgermaniumphotodiodeviaTCADsimulationtoolForconstantdefectprofileassumptiondefectsareuniformlydistributedwith5e18cm3concentrationForexponentialdefectprofileassumptiondefectshaveapeakvalue1e20cm3attheinterfaceofSiGeandexponentiallydecaytowardstopsurfaceTheresult is foundreliablebecausethefittingofsimulatedvalueandexperimentaldataarewell indarkcurrentandforwardswingThefollowingsectionwewillseethesimulationsbasedonthesetwostructures
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
26
33TCADOptimizationofDarkCurrent
331Alterationsinthickness
This section describe showwe alter the base structure of germanium photodiodeobtained in last section and the results of how is thedark current affectedby themodificationNote that in followingsections including thisone simulationswillbeonly performed on the base structure with exponential defect profile which ismorephysicallysensibleThe terms that are frequently used are in table 2‐1 and Fig 2‐4 (Show again forconvenience)Terms MeaningshGe TotalthicknessofGermaniumdiode(=hov+hBody+hRec)hBody ThicknessofGermaniumbodyhov Thicknessofoverlap
hRec Recessiondepth(=Sietched‐backthickness)wGe WidthofGermaniumdiodeWi DopingseparationWidthofintrinsicregionθ Taperedangleformedwhensiliconetch‐backprocesstSi Thicknessofsilicon
Table 2‐1 Structural parameter of GePD
Fig 2‐4 Structure of germanium photodiode
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
27
Fig 3‐5 Simulated dark current as a function of Total Ge thickness
InthesimulationofdefectsuniformlydistributedinGelayerwithconstantdensityalineardependencebetweendarkcurrentat‐052voltandtotalGethicknessisseenThis is becausewith thicker Ge layer the number of uniformly distributed defectsalsoincreaseswhichresultsinmorecarriersgeneratedthroughdefects First hBody hov and hRec are altered while holding doping energy dopingconcentrationanddopingseparation(Wi)fixedResultsshowinFig3‐5InFig3‐5wecanseethatforbothconstantandexponentialcasedarkcurrentmerelychangedbyalittleamountashBodyhovandhRecarealteredtherearenohugedifferenceaslong as the total thickness of germanium is the same ie hGe=hRec+hBody+hov is thesame In other words what really affects dark current is the total thickness ofgermaniumnotthethreeindividualparametersBesides the slope of exponential defect profile data‐set is apparently smaller thantheslopeconstantdefectprofilehowevertwoofthemincreaseasgermaniumgetsthickerThis is canbeexplainedby thatwith larger thickness thenumberof trapsincreases since the volume of germanium increases so there are more SRHgenerationhappeninthatdiodeAs for the reason that current grows slower in the diode with exponential defectprofileitcanbeseeninFig3‐6whichshowsthattrapnumberislessinexponentialdensityprofileashGeisover06microm
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
28
Fig 3‐6 Trap number comparison between constant and exponential defects
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
29
332Alterationsinwidth
Astoalterationsinwidthparameterstheeffectsofwidthofgermaniumbody(wGe)anddopingseparation(Wi)ondarkcurrentarediscussedinthissectionInFig3‐7itshowseffectsofwidthofgermaniumondarkcurrentsindeviceswiththreedifferentthicknesseswhileholdingWiandotherparametersfixedAtrendcanbe seen that dark current is lower as wGe is at around 3 microm to 4 microm for eachthickness
Fig 3‐7 Effects of the width of germanium on dark current
Fig 3‐8 shows the behavior of dark current corresponding to differing dopingseparations (Wi) Dark current increases as doping separation getswider and thechange is much larger than the effect of thickness or width of germanium(wGe)SimilartrendsshowinsampleswithdifferentthicknessNotethatx‐axisofFig3‐8istheratioofWioverwGesothateffectsofwGeisexcluded
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
30
Fig 3‐8Dark current of different diodes versus doping separation ratio
Foraphotodiodewith fixedwGewhenWigetswider traps in intrinsic regionareuncoveredbydoping regionswhere carrier concentrationsareveryhighAlthoughthepeakvalueofelectric fielddecreasesas intrinsicregiongetswiderundersamebias (seeFig3‐9)dark current still rampsupas longasmoreandmore trapsareexposedoutandlocatedataratherhighfieldregionToconcludethelocationoftrapsiscriticalWhenthenumberoftrapsthatlocatedatlargeelectricfieldregionisincreasednotonlythegenerationsitesareincreasedthegenerationprocessbecomesmoreseverelyaswell
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
31
Fig 3‐9 Electric field distribution in diodes with different doping separation
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
32
333Alterationsinimplantenergy
Implant energy determines junction depth Fig 3‐10shows dark current ofgermanium photodiode as a function of implant energy (presented in EE0 ratiowhere E0 is the original implant energy) Dark current becomes higher whenjunctions become shallower In Fig 3‐11 it can be seen that as junction depthdecreases electric field spreads out more such that it promotes SRH generationprocess
Fig 3‐10 Dark current versus implant energy ratio
Fig 3‐11 Electric field distribution of diodes with different junction depth
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
33
34Conclusion
In this chapter TCAD simulation is involved In the beginningmodels used in oursimulation are introduced including SRH model Then base structures withestimated defect density are built via TCAD sprocess tool the estimated defectdensitiesare5e18cm3and1e20cm3forsimulationsofconstantdefectprofileandexponential defect profile respectively Finally we make alteration in the basestructureandshowanoptimumstructurethathasminimumdarkcurrentGenerally speaking to make a germanium photodiode with low leakage a thingermaniumlayerisrequiredtoreducetheSRHvolume(numberoftraps)asmuchaspossible anarrowdoping separation is crucial tokeepa small SRHvolumewithinthis largeelectric field region and finallydeep junctionsareneeded to circumventthespreadingelectricfield
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
34
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
35
Chapter4 QuantumEfficiency
OptimizationIn this chapter an optical signal in implanted into the base structure obtained inchapter 2 as an input to simulate the illuminated photodiode Optical generationmethod and definition of quantum efficiency (QE) are given And again we makealteration inthebasestructureandshowanoptimumstructurethathasmaximumquantumefficiency
41OpticalGenerationanddefinitionofQuantumEfficiency
411OpticalGenerationMethod
As shown in Fig 4‐1 a two‐dimensional single‐mode light intensity distribution ofinfraredopticalsignalat1550microminsideatwo‐dimensionGermaniumstructureof2‐μm‐wide and 02‐μm‐thick was obtained beforehand by using the commercialpropagation tool FIMMWAVE by Photon Design (Photon Design Inc Oxford UK)FIMMWAVEisafullyvectorialmodefinderwhichprovidesrigoroussolutionstothefullMaxwellequationsItcanquantitativelysimulatethemodalbehaviorandopticalpropertiesinsidewaveguidesofarbitrarymaterialandofalmostanyshape
Fig 4‐1 The 2Dsingle‐modeinfrared light intensity distribution inside a 2D Germanium structure of 2‐μm‐wide and 02‐μm‐thick
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
36
FromtheresultobtainedbyFIMMWAVE the intensitydistribution is found tobeatwo‐dimensional Gaussian form with specific variance (σx2σy2) Then opticalcommand codes expressed by two‐dimensional Gaussian are added in TCADsimulator(codesinappendix)tomimiconephotoninGePDandthenumberweusein the following optimization simulations is 1e15 (cm‐3s‐1)Fig 4‐2 shows theillustrationof light intensity in2DGaussian formand theGePD cross‐section afteropticalsignalispluggedin
Fig 4‐2 Two‐dim Gaussian optical signal in the TCAD simulator (Top) Illustration of light intensity in 2D Gaussian form (bottom) GePD cross‐section after optical signal is plugged in
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
37
412DefinitionofQuantumEfficiency(QE)
Quantum Efficiency(QE) or external quantum efficiency (EQE) is defined by theratio to the number of incident photons of a given energy over the number ofelectrons that collected by photodiode which is shown at Eq 4‐1The value ofquantumefficiencyindicatestheabilityofaphotodiodetotransferopticalsignalintoelectricalsignalandcollectthem
EQEnumber of electronssecnumber of photonssec
Eq 4‐1
Anothertypeofquantumefficiencyisinternalquantumefficiency(IQE)whichisnotused in the evaluation of our simulated photodiodes The value IQE indicates thephotontransmissionabilityofphotodiodeswhichisnottheissueconcernedinthisthesis
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
38
42QEinrespectofStructuralparameters
Alterationsaredonemainlyintotalthicknessofgermaniumwidthofgermaniumandthedopingseparation
421QEdependenceonthicknessandwidthofGePD
InFig4‐3 lightdistributioninphotodiodeswithvariousgeometries isshownOnecansee insmallGePD light intensityconcentrates inthemiddleof thephotodiodewhere electric field is the largest This is beneficial because the generated carrierscanbequicklyswepttoelectrodesbythestrongelectricfieldbeforetheyrecombineHowever thereare also lostof lights since someof lightsdistribute intooxideandsiliconAndinthecaseofwidedeviceslightdistributionbroadensoutsoaveragelythenumberofcarriersgeneratedbyphotonsthatexperiencelargeforceisreduced
Fig 4‐3 Light distribution in photodiodes with different width and thickness
AsaresultwecanexpectanoptimumhappenataspecificgermaniumthicknessandwidthAsshowninFig4‐4maximumvaluehappensatthicknessof05micromandtotalGewidthof34to45microm
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
39
Fig 4‐4 Effects of Ge thickness and width on QE
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
40
422QEdependenceondopingseparation
Inthissectionphotodiodesincludingdifferentdopingseparation(Wi)aresimulatedwiththeGePDobtainedinprevioussectionthathavelightsmostlyconcentrateinthemiddleandalsobeenclosedinsidegermaniumlayerThewidthofdopingseparationdetermines firstly the window that enables electric field to act on generatedelectronsandholesandsecondlythestrengthoftheelectricfieldAlargeWiindicatesalargewindowtocapturelightneverthelesswehaveshowninFig3‐9(showagainbelow)thatelectric fielddecreasesasWi increasesThat isweshouldmakeWilargeenoughtocapturesufficientlightbutnotsolargethatelectricfield becomes too weak to drive electrons and holes to electrodes before theyrecombine
Fig 3‐9 Electric field distribution in diodes with different doping separation
Fig4‐5showshowQEdependsondopingseparation Itcanbeseenthatquantumefficiency reaches a maximum when Wi is 50 to 60 of the total width ofgermanium
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
41
Fig 4‐5 QE dependence on doping separation
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
42
43QEimprovementbyJunctionengineering
Fromtheresultsofchapter3andprevioussectionsinthischapteroneseesthereisinevitabletrade‐offbetweenlowdarkcurrentandhighQEInthischapterjunctionsengineeringisperformedandattemptedtomaintainorincreasequantumefficiencyatthesametimekeepingdarkcurrentatalowlevelTominimizingdarkcurrentwithagivendensityoftrapsitisimportanttoseparatetrap locations fromwhereelectric field ishighSince trapsmostlydistributeat thebottomof germanium layermaking junctions shallower seemsable to achieve thisgoal However previously in Fig 3‐10(would be shown again later) we found thatdarkcurrentrisesasjunctiondepthdecreasesduetoelectricfieldspreadsoutmorein a shallow junction Fig 4‐6 shows the simulation results of decreasing junctiondepthusingoriginalimplantationmethodandtrade‐offisseenbetweenlowleakageandhighQE
Fig 4‐6Dark current and QE as a function of implant energy
(E0 is the original implant energy E is the variable)
Consequently a two‐step implantation without extra masks is introduced intosimulator as the first implantation to form a deep junction with small dopingconcentration and the second one to form a shallow junction with high dopingconcentrationThe functionofdeep junction is to screenout thespreadingelectricfield from the shallow junction while it itself provides very small electric field sothat SRH process through traps at the bottom of GePD wouldnrsquot be very strongIllustrationofdeep‐and‐shallowdopingandthesimulatedstructurewithEE0=02areinFig4‐7
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
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[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
43
Fig 4‐7 Deep junctions and shallow junctions
Results of simulation of deep‐and‐shallow junctions are in the following Fig 4‐8shows dark current and QE as a function of shallow doping dosages and a set ofcurvesdifferingbydeepdopingdosage ispresentedShallowdopingconcentrationcanbeasheavyasactivationmaximum(forgermaniumisapproximately1e19cm3)since high QE is achieved without promoting dark current Dark current issuppressedcomparedtothatofstructurewithoutthesecondstepdeepdopingandimplantationdoseof3e13cm2ischosentobetheoptimumdopingconcentrationfordeepjunctionDosesaslowas5e12cm2fordeepdopingcannotsufficientlyscreenout theelectric fields formshallow junctionsanddeep junctionswithdoses largerthan3e13cm2mightprovideitsownelectricfieldandresultedindarkcurrentrisingsuchasthebehaviorofdeviceswith5e13cm2(redlinewithsquare)
Fig 4‐8 Effects of deep‐and‐shallow junctions on dark current and QE
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
44
44Conclusion
Hereinchapter4westarttosimulatethephotocurrentofGePDwithopticalsignalsOptical signal is generated by putting the Gaussian form calculated by waveguidemodalsolverTohavehighquantumefficiencywehaveanoptimumwiththewidthofgermaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparationequalstohalfofthewidththatis17micromTomaintainhighquantumefficiencywhilekeepinglowlevelofdarkcurrentdeep‐and‐shallow junction is proposed Deep junction is doped slightly 3e13cm2 tosuppressdarkcurrentandshallowjunctionisdegeneratelydopedtopromptphotocurrentsTheoptimumstructure is shown inFig 4‐9where the color legend is fordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Fig 4‐9 The optimum structure for low dark current and high QE
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
45
Chapter5 TransientResponse
OptimizationIn this chapter the transient respond of photodiode to an optical pulse signal ispresentedandtheparasiticcapacitanceofoursimulatedphotodiodewithoutopticalsignal isobtainedbyC‐Vsimulation InthefollowingsectionsanequivalentcircuitofGePD isgiven the issueof the lengthof thephotodiode isdiscussed and finallyfrequencyresponseofsimulatedphotodiodeisshownrespectively
51TheRoleofTransientResponse
The significant growth in computer processing power due to microelectronicsscalingrequiresacorrespondingincreaseincommunicationbandwidthForon‐chipapplications detectors with very small capacitance and high speed are crucial forlowpowerlargebandwidthsystems[17]To estimate the transient behavior intrinsically fromGePDdevice an optical pulsesignalisintroducedintotheTCADsimulatorwhilethesimulatedphotodiodesareintheoperationpoint ‐05VNextwe characterize the speedof simulated germaniumphotodetector in a unit of GHz by calculating the inverse of RiseTime which isdefinedbyThetimerequiredfortheresponsetorisefrom10to90of its finalvalueAsshowninFig5‐1
Fig 5‐1 Illustration of rise time definition
To estimate the input‐output transient respond from the systempoint of view Fig5‐2showstheequivalentcircuitofaP‐i‐Nphotodiode
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
46
Aphotodiode is regardedasacurrent sourcewithparasitic leakageresistanceandjunction capacitance and parasitic capacitance resistance and inductance ofinterconnectwouldalsocontributetoRCtimedelayAsIph ischangingwiththeAC
optical signal the voltagendashdrop across is Rs also changing and this leads to thechargingdischarging behavior of CPD and CPThe ultimate goal is to acquire anequivalentcircuitmodelofGePDandafterseeingtheintrinsicspeedofGePDswithdifferent geometry in section52 thevalueof componentCPD is obtained fromC‐Vsimulationinsection53
Fig 5‐2 Effective circuit of a PIN photodiode[20][21]
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
47
52Speedinrespectofstructuralparameters
Inthissectiontheeffectsofdopingseparation(Wi)andwidthofgermanium(wGe)onthephotodiodecapacitanceandspeedarediscussedC‐VcharacteristicsimulationisfirstperformedonphotodiodeswithdifferentWiandwGewithoutinjectingopticalsignalSubsequentlyanopticalinputwithpulsewidthequals to1nanosecond is introduced into theelectrical characterization section insimulator and then speed (GHz) is calculated via rise time of the respondscorrespondingtoeverydeviceFig 5‐3 shows the C‐V characteristics of simulated photodiode with variousstructuresandoneseesfromFig5‐3(a)thatcapacitanceincreasesdramaticallyasWi decreases and from Fig 5‐3 (b) capacitance increases as hGe increases whilewGeplayslittleroleincapacitanceItisquitereasonablewhenseeingawell‐knowncapacitanceformulaeEq5‐1(NotethatcapacitanceisintheunitofFaradspermicrombecauseofthetwo‐dimensionalsimulation)
C Fμ εCapacitor Area
Capacitorthicknessε
hGe LGe 1μmWi
Eq 5‐1
Fig5‐3(a)
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
48
Fig5‐3(b)
Fig 5‐3 C‐V characteristics of simulated photodiode with various structures
However in Fig 5‐4speed dependencies on wGe appear to have an inverse linearrelation despite the fact that wGe has little contribution to parasitic capacitance(NotethatWiisfixed)Itcanbeexplainedbythetransitiontimeforcarrierstotravelto electrodes since there is a longer distance for electrons that generated in themiddleofGePDtobedriven tocathode inaratherwidephotodiodeviceversa forholes
Fig 5‐4 Speed of GePD is inversely proportional to wGe
InFig5‐5 speedabove30GHz is achieved in thedevicewGeequals to2micromwithdoping separation equals to 12 microm The photodiode with the structure whichprovidesbestquantumefficiencyisindicatedaswellSpeeddistributionoverdoping
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
49
separationisprettysharpandtwomachismoscompetingwitheachotherAtregionI speed isaffectedby the large junctioncapacitancewhenWi issmall Inregion IIspeedislimitedbythetransitionvelocityofcarrierssinceelectricfielddecreasesWiincreases
Fig 5‐5Speed evaluation of GePDs with different Wi and wGe
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
50
53Lengtheffect
In previous chapters simulations are all done in a two‐dimensional germaniumphotodiodethereforeinthissectionweconsidertheeffectsofthelength(LGe)onphotodiode (L is shown inFig 2‐4) including the capacitance and the absorptionefficiencyoflightsinlongandshortdevices
531Capacitanceinlengthdirection
First estimation of transient respond of germaniumphotodiode is required from asystem level point of view To reduce RC delay the capacitance of germaniumphotodetector for interconnect systemshouldalwaysbeminimized Fig 5‐6 showsthe parasitic capacitance CPDat ‐05V In the structure of GePD in this thesis thelength of electrodes is approximately same with the length of implant junctionsSincecapacitanceisincreasingwiththeGePDlengthashortgermaniumphotodiodeisdesirableforbothloweringCPDandpadcapacitanceCP
Fig 5‐6Parasitic Capacitance CPDobtained with length of GePD
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
51
532Absorptioninlengthdirection
From the transmission point of view absorption coefficientmeasures how quicklythe lightsignalwould lose intensitydue to theabsorptionofamaterialButas forphotodiode themore lights absorbedmeans themore photons can be utilize andcontributetocarriersInFig5‐7theopticalabsorptionofcrystallineSi1‐xGexandthecorrespondingindexofrefractionofeachmaterialareshownfromtheliterature[22]
Fig 5‐7 Optical absorption coefficient of Si Ge and SiGe alloys[22]
Based on Beer‐Lambert law (Eq 5‐2) where I I0 and α are intensity at L inputintensityandabsorptioncoefficientrespectivelytheabsorptionrationasafunctionofthelengthofgermaniumphotodiodecanbecalculatedasshowninFig5‐8Highabsorption ration means that there are more number of photons that can betransferred into carriers so photo‐current would increase (Note that QE doesnrsquotchange)
I I ∙ e Eq 5‐2
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
52
Fig 5‐8 Absorption ratio versus length of germanium photodiode
As a result this section reminds that in realist case although we prefer a shortphotodiode to avoid large capacitance the length of germanium photodiode stillneedstobecompromisedwiththeabsorptionefficiencyoflightsignals
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
53
54Frequencyresponse
541Bitstreaminput
As an input the bit stream below in Fig 5‐9is pseudo random and has the mostimportanttransitionsbecauseitincludesallthecombinationsofthreebits
Fig 5‐9 The bit stream input contains combinations three bits
542Eyediagram
Toevaluate systemspeed eyediagramsareoftenusedAnopeneye interprets thenicetransientrespondofanelectronicdeviceInFig5‐10simulationsoftransientsrespondstothebitstreaminputswithfrequencies1GHz10GHz20GHz40GHzand100GHzareperformedA regular trendcanbe seen thatas the signal frequency ishigher than thespeed thatGePDcanhandlewith signalsdistortioncanbereadasthe ldquoeyerdquogetting closed In realistic cases eyediagramsneeds tobeextendedwithparasitic components noises and loads of amplifiers depending on variousinterconnectsystems
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
54
Fig 5‐10 Eye diagram of the GePD with speed 30GHz
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
55
55Conclusion
InthischapteritisseenthatthespeedofGePDincreaseswiththetotalwidth(wGe)while foreachwGethere isanoptimumdopingseparation(Wi)valueAmaximum32GHzisfoundatwGeequalsto2micromandWiequalsto02micromForoptimizationinlengthdirectionweshouldnotethatlengthofGePDneedstobecompromisedwiththeabsorptionefficiencyoflightsignalsandthejunctioncapacitanceValue of junction capacitance of GePD with different length is obtained by C‐Vsimulation The simulation of C‐V might seem redundant since capacitance is ofcourseincreasinglinearlywitheffectivecapacitorarea(hGetimesLGe)butithelpsustodemonstrate the model of equivalent circuit of GePD which would be shown inchapter6Finally frequency respond is shown in eye diagramswhile a bit stream of opticalsignalwithvariousfrequencies
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
56
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
57
Chapter6 ConclusionAs one of the crucial components in optical interconnect system germaniumphotodiodes are promising due to its corresponding bandgap to absorb infra‐redlight and the compatibility to silicon‐based photonics and electronics Howevermany researchers have shown that GePD is suffering from high dark current andefforts were done to suppress the dark current and to increase gain‐bandwidthproductbyimprovingGePDefficiencyandspeedSeveralguidelinestowardtheGePDstructureareprovidedinthisthesiswiththeaidof investigationofmeasureddarkcurrentandTCADsimulation tohelp fabricatinghigh‐efficiency and low‐power consumption germanium photodetector with thestructure resembles following figureA table of guidelines is put at the endof thischapterafterstatementsofconclusionschapterbychapter
In chapter 2 we show the investigation of physical mechanisms behind the darkcurrentingermaniumphotodiodeviaexperimentaldataItcanbeverifiedthatdarkcurrent is in thecombinationbehaviorofdiffusioncurrentandShockley‐Read‐HallgenerationcurrentAtroomtemperatureandatthebias‐05VSRHgenerationisthemain component in dark current There is a good qualitative agreement betweenformulatrendandmeasureddataIn chapter 3 TCAD simulation is involved with inclusion of SRH model WeconstructedbasestructuressimilartomeasuredphotodiodesinTCADsprocesstoolwith defect densities are estimated as 5e18cm3 and 1e20cm3 for simulations ofconstantdefectprofileandexponentialdefectprofileAlterationsweremade inthebase structures to find the structure that has minimum dark current Generallyspeaking to make a germanium photodiode with low leakage a thin germaniumlayerisrequiredtoreducetheSRHvolumeienumberoftrapsasmuchaspossibleAnarrowdopingseparation iscrucial tokeepasmallSRHvolumewithin the largeelectric field region Finally deep junctions (junction depth asymp hGe) are needed tocircumvent the dark current arouse by the spreading electric field of shallowjunctions
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
58
Inchapter4westart tosimulatethephotocurrentofGePDwithopticalsignalsTohavehighquantumefficiencywehave an optimumwhen thewidth of germaniumequals to 34 microm the thickness of germanium equals to 05 microm and the dopingseparation equals tohalf of thewidthwhich is17micromTomaintainhighquantumefficiency while keeping low level of dark current deep‐and‐shallow junction isproposedDeepjunctioniswithslightlydoping3e13cm3tosuppressdarkcurrentand shallow junction is degenerately doped to prompt photo currents The finalGePDstructurewithoptimizedgeometriesandjunctionengineeringisshownbelowwherethecolorlegendisfordopantsanddefectconcentrationandroundcontoursisillustratingtheopticalsignalinsideGePD
Inchapter5transientrespondofGePDtoACopticalsignalispresentedThespeedincreases as totalwidth (wGe)decreaseswhile for eachwGe there is an optimumdoping separation (Wi) valueAmaximum32GHz is found atwGe equals to 2 micromandWiequals to02micromForoptimization in lengthdirectionweshouldnote thatlength of GePD needs to be compromised with the absorption efficiency of lightsignalsandthejunctioncapacitanceThevalueofjunctioncapacitanceofGePDwithdifferent length is obtained by C‐V simulation to demonstrate the model ofequivalentcircuitofGePDTosummarizethewholethesiscontributionsfromabovechaptersaregeneralizedintwoaspectsasdescribedinthefollowingtwoparagraphsIn device aspect we provide guidelines toward the GePD structure which aresummarized above and arranged in Table 6‐1on next page Each parameter isdiscussedwhileothersarefixedInsystemaspectweprovideasimulationframeworksuchthatvaluesofelectroniccomponents in the equivalent circuit of GePD become available or computable Inthis way evaluation of speed at the system level could be achieved by applyingequivalent circuit of germanium photodiode connects to arbitrary knowninterconnection systems For a germanium photodiode with length L componentscanbeobtainedasshowninTable6‐2
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
59
Parameters Guidelines ReasonsTolowerDarkcurrent
hGe SmallerbetterIdark increases linearly with hGe due tonumberoftrapsincreasesasgermaniumhasalargervolume
wGege3microm
(Wi=18microm)
For same Wi many traps at the taperedfacets are more close to the middle in anarrowGePDwhereelectricfieldisstronger
Wi SmallerbetterNumber of traps increases at the intrinsicregionwhereelectricfieldislarge
Junction DeeperbetterElectric field spreading out from shallowjunctionwouldincreaseIdark
ToincreaseQuantumefficiencyhGe 05microm Theoptimumreachedinthestructurewhich
lights mostly contribute in the center ofGePD while not being squeezed out ofgermanium
wGe 34microm
Wi frac12ofwGe
Junction ShallowerbetterStrong electric fields from shallow junctionimproveQE
LowDarkCurrentandHighQEatsametime
Optimizedgeometryand
Deep‐and‐shallowtwo‐stepsimplant
Strong electric field of shallow junctions isawayfromdefectsatbottomofGePDanditprovides a strong driven force to carriersDeep junctionwith slightdopingcan screenthe electric fields spreading from top todefectsatthebottom
Toboostspeed
LGe DependsonapplicationLinfluencesabsorptionoflightandparasiticcapacitance
wGe SmallerbetterNarrow GePD means shorter distance forcarrierstotraveltoelectrodes
WiTheoptimumexistsdependingonwGe
MaximumhappenedatdifferentWivaluesinGePDwith differentwGe because there aretwo mechanisms competing each otherJunctioncapacitanceanddriftvelocity
Table 6‐1 Several Guidelines for designing GePD
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
60
Components Resource Expression
Iph(A) Ch4ofthisthesis Photonsabsorbed(L)timesQE(ratio)
RP(ohm) Ch2Ch3ofthisthesis Vbias(V)Idark(Amicrom)timesL(microm)
CPD(Farads) Ch5ofthisthesis AssimulatedinSec531
CPLPRS Estimatedfromcircuitlayout
RL Dependsonnextcircuitstage(amplifieretc)
Table 6‐2GePD equivalent circuit [20][21]and acquired value of components
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
61
Appendices
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
62
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
63
AppendixACommandcodesinTCADsimulatorIn thisappendix commandcodesused inTCADSprocessTCADSdevicesimulatorsare given Note that here ldquohGerdquo stands for hbody only not the total germaniumthickness
Sprocess
definegarden01definehOX[expr(hov+hGe)]defineWtot[expr(2(wov+$garden)+wGe)]definetheta[expr(314159265angle180)]definewPN[expr(wGewPN_ratio)]defineimp_long[expr(($wPN+$Wtot)2)]linexloc=0tag=SiTopspacing=50ltnmgt linexloc=300ltnmgttag=SiBottomspacing=50ltnmgt lineyloc=0tag=SiLeftspacing=50ltnmgt lineyloc=$Wtottag=SiRightspacing=50ltnmgt regionsiliconxlo=SiTopxhi=SiBottomylo=SiLeftyhi=SiRight initconcentration=1e15field=BoronDelayFullD mgoalsonminnormalsize=2ltnmgtmaxlateralsize=2ltumgtnormalgrowthratio=13 PHYSICALMODELSFORGERMANIUM pdbSetDoubleImplantDataGermaniumAtomicMass7261 pdbSetDoubleImplantDataGermaniumAtomicNumber32 pdbSetDoubleGermaniumLatticeConstant564613 pdbSetDoubleGermaniumLatticeDensity441e22 pdbSetDoubleGermaniumAmorpGamma10 pdbSetDoubleGermaniumAmorpDensity11e22 pdbSetDoubleGermaniumAmorpThreshold11e22 pdbSetDoubleGermaniumLatticeSpacing[exprpow(1441e221030)] pdbSetStringGermaniumLatticeTypeZincblende pdbSetDoubleGermaniumMassDensity535 pdbSetBooleanGermaniumAmorphous0 pdbSetStringGermaniumLatticeAtomCOMPOSITION pdbSetStringGermaniumCompositionComponent0NameGermanium pdbSetDoubleGermaniumCompositionComponent0StWeight1 pdbSetDoubleGermaniumCompoundNumber1 pdbSetDoubleGermaniumDebyeTemperature519
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
64
pdbSetBooleanGermaniumElectronicStoppingLocal1 pdbSetDoubleGermaniumSurfaceDisorder5e‐4 NUMERICALPARAMETERSFORTaurusMC(pleaseconsultmanual) pdbSetMCImplantTrajectoryReplication1 pdbSetMCImplantTrajectorySplitting1 pdbSetDoubleGermaniumPhosphorusMaxSplits80 pdbSetDoubleGermaniumPhosphorusMaxSplitsPerElement10 pdbSetDoubleGermaniumBoronMaxSplits80 pdbSetDoubleGermaniumBoronMaxSplitsPerElement10 pdbSetDoubleGermaniumArsenicMaxSplits80 pdbSetDoubleGermaniumArsenicMaxSplitsPerElement10 MonteCarloImplantparamertersimplantedspecies(TaurusMC) pdbSetDoubleGermaniumPhosphorusamorpar10 pdbSetDoubleGermaniumPhosphoruscascamo10 pdbSetDoubleGermaniumPhosphorusdispthr15 pdbSetDoubleGermaniumPhosphoruscascdis15 pdbSetDoubleGermaniumPhosphorussurvrat075 pdbSetDoubleGermaniumPhosphoruscascsur075 pdbSetDoubleGermaniumPhosphorusMCVFactor10 pdbSetDoubleGermaniumPhosphorusMCDFactor10 pdbSetDoubleGermaniumPhosphorusMCIFactor10 pdbSetDoubleGermaniumBoronamorpar10 pdbSetDoubleGermaniumBoroncascamo10 pdbSetDoubleGermaniumBorondispthr15 pdbSetDoubleGermaniumBoroncascdis15 pdbSetDoubleGermaniumBoronsurvrat0225 pdbSetDoubleGermaniumBoroncascsur0225 pdbSetDoubleGermaniumBoronMCVFactor10 pdbSetDoubleGermaniumBoronMCDFactor10 pdbSetDoubleGermaniumBoronMCIFactor10 pdbSetDoubleGermaniumBoronLSSpre125 pdbSetDoubleGermaniumBoronnlocexp0075 pdbSetDoubleGermaniumBoronnlocpre044 pdbSetDoubleGermaniumBoroncascsat002 pdbSetDoubleGermaniumBoronsatpar002 THESE PARAMETERSmakesB only partially amorphizing inGermanium damagesaturateswhen2oflatticeatomshavebeen displacedThisnumberisbasedonLIMITEDSIMSdata andshouldbeconsideredanestimate pdbSetDoubleGermaniumArsenicamorpar10 pdbSetDoubleGermaniumArseniccascamo10 pdbSetDoubleGermaniumArsenicdispthr15 pdbSetDoubleGermaniumArseniccascdis15 pdbSetDoubleGermaniumArsenicsurvrat2 pdbSetDoubleGermaniumArseniccascsur2 pdbSetDoubleGermaniumArsenicMCVFactor10 pdbSetDoubleGermaniumArsenicMCDFactor10 pdbSetDoubleGermaniumArsenicMCIFactor10 pdbSetDoubleGermaniumArsenicLSSpre1 pdbSetDoubleGermaniumArsenicnlocexp0075 pdbSetDoubleGermaniumArsenicnlocpre05
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
65
1_oxide_pattertn mask maskname=hovleft=‐0001right=01maskname=hovleft=$Wtot‐$gardenright=$Wtot+0001maskname=hGeleft=‐0001right=01+wovmaskname=hGeleft=$Wtot‐$garden‐wovright=$Wtot+0001 depositmaterial=Oxidetype=isotropicthickness=$hOX etchmaterial=Oxidetype=anisotropicthickness=hovmask=hov etchmaterial=Oxidetype=anisotropicthickness=[expr(hGe+0001)]mask=hGe 2_silicon_etch_back X10defineY1[exprwov+$garden]defineY2[expr$Y1+hRectan($theta)]defineY3[expr$Wtot‐$Y2]defineY4[expr$Wtot‐$Y1]etchmaterial=Silicontype=polygonpolygon=0$Y1hRec$Y2hRec$Y30$Y40$Y13_GermaniumGrowth depositmaterial=Germaniumtype=fillcoord=‐$hOX4_N++implant(masked) maskclear maskname=N_impleft=‐1ltnmgtright=$imp_longnegativemaskname=N_impleft=[expr($Wtot‐$garden)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=N_imp implantPhosphorusdose=5e14ltcm‐2gtenergy=80ltkeVgtsentaurusmcinfo=1 stripNitride 5_P++implant(masked) maskclear maskname=P_impleft=‐1ltnmgtright=$gardennegative maskname=P_impleft=[expr($Wtot‐$imp_long)]right=[expr($Wtot+0001)]negative depositmaterial=Nitridetype=anisotropicthickness=1000ltnmgtmask=P_impimplantBorondose=5e14ltcm‐2gtenergy=30ltkeVgtsentaurusmcinfo=1 stripNitride selectz=(min(Phosphorus2e19)‐min(Boron1e19))name=DopingConcentrationstoreselectz=(DopingConcentration)name=Netactivestore(ifDtype==con puts selectGermaniumz=(Phosphorus+Boron+Dpeak)name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore else
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
66
puts select Germanium z=(Phosphorus+Boron+Dpeakexp(‐(hRec‐x)002))name=TotalConcentrationstore selectSiliconz=(Phosphorus+Boron)name=TotalConcentrationstore )6_Contactformationcontactmaskmaskclearmaskname=contactleft=‐1ltnmgtright=[expr($garden+005)]maskname=contactleft=[expr($garden+005+035)]right=[expr($Wtot‐($garden+005)‐035)]maskname=contactleft=[expr($Wtot‐($garden+005))]right=[expr($Wtot+0001)] depositmaterial=Oxidetype=anisotropicthickness=250ltnmgtetchmaterial=Oxidetype=anisotropicthickness=251ltnmgtmask=contact depositmaterial=Aluminumtype=fillcoord=[expr(‐1($hOX+025))] contactname=anodeAluminumx=[expr(‐1($hOX+01))]y=[expr($garden+005+01)]replacepoint contact name=cathode Aluminum x=[expr (‐1($hOX+01))] y=[expr ($Wtot‐($garden+005+01))]replacepoint7_opticalGaussianprofilesetC1[expr(008653022)]setC2[expr(0400182)]setsigmaX[expr((hov+hGe+hRec)$C1)]setsigmaY[expr((2($garden+wov)+wGe)$C2)]setrX[expr((hov+hGe+hRec)2)‐hRec]setrY[expr($garden+(wGe+wov+wov)2)]select z=(1e12($sigmaXsqrt(2314159))exp(‐(x+$rX)(x+$rX)(2$sigmaX$sigmaX))1($sigmaYsqrt(2314159))exp(‐(y‐$rY)(y‐$rY)(2$sigmaY$sigmaY)))name=OpticalGenerationstorestructtdr=nnodeGasexit
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
67
SdeviceforIV
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
68
‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
69
‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=001)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=sweepdark_Plot(FilePrefix=nnode_dark)‐RamptopositivebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=1)Coupled(Iterations=15)PoissonElectronHoleNewCurrentFile=sweeplight_Plot(FilePrefix=nnode_light)‐switchonthelightQuasistationary(InitialStep=1Increment=12Decrement=4MinStep=1e‐4MaxStep=1Goal ModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=Iphg)Coupled(Iterations=15)PoissonElectronHole‐RamptonegativebiasQuasistationary(InitialStep=004Increment=12Decrement=4MinStep=1e‐4MaxStep=004GoalName=anodeVoltage=‐1) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Light_05Time=(075))
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
70
SdeviceforC‐V
DeviceDIODEElectrodeName=anodeVoltage=StartVoltageName=cathodeVoltage=00FileGrid=tdrCurrent=plotPlot=tdrdat Parameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parPhysicsMobility(DopingDep) Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)) )PloteDensityhDensityeCurrenthCurrentElectricFieldeEparallelhEparalleleQuasiFermihQuasiFermiPotentialDopingSpaceChargeDonorConcentrationAcceptorConcentrationConductionBandEnergyValenceBandEnergyMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeFileOutput=logACExtract=acplot
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
71
SystemDIODEGePD(anode=elect_pcathode=elect_n)Vsource_psetvp(elect_p0)dc=StartVoltageVsource_psetvn(elect_n0)dc=0Solve‐a)zerosolutionCoupledPoissonCoupledPoissonElectronHoleCoupledPoissonElectronHoleCircuitContact‐d)rampbottomcontactQuasistationary(InitialStep=MaxStepMaxStep=MaxStepMinStep=1e‐7GoalParameter=vpdcVoltage=TargetVoltage)ACCoupled(StartFrequency=1e6EndFrequency=1e6NumberOfPoints=1DecadeNode(elect_pelect_n)Exclude(vpvn) )PoissonElectronHoleCircuitContact
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
72
Sdevicefortransient
FileinputfilesGrid=tdrParameter=imecusershellingspublicDoctoraatTCADotherprojectstablesJan2010Germanium_hellings_v2parOpticalGenerationInput=tdroutputfilesPlot=tdrdatCurrent=plotOutput=logElectrodeName=anodeVoltage=00Name=cathodeVoltage=00PhysicsMobility(DopingDependence)Recombination(SRH(DopingDependenceElectricField(Lifetime=HurkxDensityCorrection=None)))Optics(OpticalGeneration(ReadFromFile(DatasetName=OpticalGenerationScaling=1)))Plot‐‐DensityandCurrentsetceDensityhDensityTotalCurrentVectoreCurrentVectorhCurrentVectoreMobilityhMobilityeVelocityhVelocityeQuasiFermihQuasiFermi‐‐TemperatureeTemperaturehTemperatureTemperature‐‐FieldsandchargesElectricFieldVectorPotentialSpaceCharge
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
73
‐‐DopingProfilesDopingTotalConcentrationDonorConcentrationAcceptorConcentration‐‐GenerationRecombinationSRHRecombinationAugerBand2BandGenerationAvalancheGenerationeAvalancheGenerationhAvalancheGeneration‐‐DrivingforceseGradQuasiFermiVectorhGradQuasiFermiVectoreEparallelhEparalllel‐‐BandstructureCompositionBandGapBandGapNarrowingAffinityConductionBandValenceBandxMoleFraction‐‐TrapseTrappedChargehTrappedChargeeGapStatesRecombinationhGapStatesRecombination‐‐HeatgenerationTotalHeateJouleHeathJouleHeatRecombinationHeatOpticalGenerationOpticalIntensityMathError(Electron)=1e‐5Error(Hole)=1e‐5RelErrControlErrRef(Electron)=1e12ErrRef(Hole)=1e12ExtrapolateTrapDLN=100eDrForceRefDens=1e12hDrForceRefDens=1e12NoSRHperPotentialhMobilityAveraging=ElementEdgeeMobilityAveraging=ElementEdgeSolve‐CreatinginitialsolutionCoupled(Iterations=100)PoissonCoupled(Iterations=100LineSearchDamping=00001)PoissonHoleElectron‐RamptonegativebiasQuasistationary(InitialStep=025Increment=12Decrement=4MinStep=1e‐4MaxStep=1
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
74
GoalName=anodeVoltage=‐05) Coupled(Iterations=15 ) Poisson Electron Hole Plot (FilePrefix =nnode_Dark_05Time=(05))NewCurrentFile=transient_Transient(InitialTime=0FinalTime=3e‐9InitialStep=1MaxStep=1e‐11BiasModelParameter=OpticsOpticalGenerationReadFromFileScalingvalue=(1at01at099e‐91e15at1e‐91e15at199e‐91at2e‐91at299e‐9))CoupledPoissonElectronHole
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
75
Bibliography
[1] DABMillerldquoRationaleandChallengesforOpticalInterconnectstoElectronicChipsrdquoproceedingsoftheIEEEvol88no6p7282000
[2] DABMillerldquoOpticalInterconnectstoSiliconrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol6no6pp1312‐13172000
[3] D A B Miller ldquoPhysical reasons for optical interconnectionrdquo Int JOptoelectronicsvol1681997
[4] LChenKPrestonSManipatruniandMLipsonldquoIntegratedGHzsiliconphotonicinterconnectwithmicrometer‐scalemodulatorsanddetectorsrdquoOpticsExpressvol17no17pp15248‐152562009
[5] SBSamavedamMTCurrieTALangdoandEAFitzgeraldldquoHigh‐qualitygermaniumphotodiodesintegratedonsiliconsubstratesusingoptimizedrelaxedgradedbuffersrdquoAppliedPhysicsLettersvol73no15pp2125‐21271998
[6] MTakenakaKMoriiMSugiyamaYNakanoandSTakagildquoUltralow‐dark‐currentGephotodetectorwithGeO2passivationandgas‐phasedopedjunctionrdquoIEEEInternationalConferenceonpp36‐382011
[7] JEBowersDDaiYKangandMMorseldquoHigh‐gainhigh‐sensitivityresonantGeSiAPDphotodetectorsrdquoProcSPIEvol7660pp1‐82010
[8] SAssefaFXiaandYAVlasovldquoReinventinggermaniumavalanchephotodetectorfornanophotonicon‐chipopticalinterconnectsrdquoNaturevol464no7285pp80‐842010
[9] DANeamenSemiconductorPhysicsandDevicespdf3rdedMcGraw‐Hill2003
[10] NVLoukianovaetalldquoLeakageCurrentModelingofTestStructuresforCharacterizationofDarkCurrentinCMOSImageSensorsrdquoIEEETransactionsonElectronDevicesvol50no1pp77‐832003
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
76
[11] RWidenhornMMBloukeAWeberARestandEBodegomldquoTemperaturedependenceofdarkcurrentinaCCDrdquoProcSPIEvol4669pp193‐2012002
[12] GEnemanetalldquoImpactofDonorConcentrationElectricFieldandTemperatureEffectsontheLeakageCurrentinGermaniump+nJunctionsrdquoIEEETransactionsonElectronDevicesvol55no9pp2287‐22962008
[13] RNHALLldquoElectron‐HoleRecombinationinGermaniumrdquoPhysicalReviewvol87no2pp387‐3871952
[14] C‐TSahandWShockleyldquoCarrierGenerationandrecombinationinP‐NJunctionsandP‐NJunctionCharacteristicsrdquoproceedingsoftheIREvol1p12281956
[15] LEsakildquoNewPhenomenoninNarrowGermaniump‐nJunctionsrdquoPhysicalReviewvol109no2pp603‐6041958
[16] GAMHurkxandHCDGraaffldquoANewAnalyticalDiodeModelIncludingTunnelingandAvalancheBreakdownrdquoIEEETransactionsonElectronDevicesvol39no9pp2090‐20981992
[17] LChenandMLipsonldquoUltra‐lowcapacitanceandhighspeedgermaniumphotodetectorsonsiliconrdquoOpticsExpressvol17no10pp7901‐79062009
[18] EGaubasMBauzAUleckasandJVanhellemontldquoCarrierlifetimestudiesinGeusingmicrowaveandinfraredlighttechniquesrdquoMaterialsScienceinSemiconductorProcessingvol9pp781‐7872006
[19] ldquoSynopsysIncMountainViewCAC‐200906edSentaurusDeviceReferenceManualrdquo2009
[20] DDaiMJWRodwellJEBowersYKangandMMorseldquoDerivationoftheSmallSignalResponseandEquivalentCircuitModelforaSeparateAbsorptionandMultiplicationLayerAvalanchePhotodetectorrdquoIEEEJournalofSelectedTopicsinQuantumElectronics2009
[21] SAssefaetalldquoCMOS‐IntegratedOpticalReceiversforOn‐ChipInterconnectsrdquoIEEEJournalofSelectedTopicsinQuantumElectronicsvol16no5pp1376‐13852010
[22] RASorefandSMemberldquoSilicon‐BasedOptoelectronicsrdquoproceedingsoftheIEEEvol81no12p16871993
77
78
77
78
78