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Kai Nordlund, Department of Physics, University of Helsinki
Nano-2
Nanoscience II: Nanoclusters in ‘vacuum’
Kai Nordlund2.11.2010
Matemaattis-luonnontieteellinen tiedekunta
Fysiikan laitos
Materiaalifysiikan osasto
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Kai Nordlund, Department of Physics, University of Helsinki
1. Nanoclusters in “vacuum” vs. in condensed states
Nanoclusters can be manufactured in two distinct kind of environments:
In ‘vacuum’ or strictly speaking in low-density gases or plasmas
In liquids or solids
In both cases atoms aggregate one or a few by time to slowly form a nanocluster ‘bottom-up’
However, there are crucial differences in the formation process:
A liquid or solid is a very efficient heat bath: formation at ambient temperature
There are no permanent cluster-surroundings interactions in a gas
Nevertheless, the final structure may be the same!
Hence it is useful to understand the properties of ‘free’ nanoclusters as a starting point for liquid/solid applications
Single ‘free’ nanoclusters are a pure prototypical nanoscience system
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2. Background: common metallic bonding
Metals in the most common elements have 8-12 bonds
A “metal bond” is not really a covalent chemical bond, but can be understood in terms of the attraction between negative free electrons and positive ions embedded in it
In this case it is energetically favourable for atoms to have many bonds
In the so called
FCC- and HCP-structures: 12 neighbours
BCC: 8 neighbours
Almost all elemental metals have one of these 3 structures
FCC structure
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2. Background: crystal structures
The FCC and HCP structures are actually quite similar from an atomic viewpoint
Both can be obtained by stacking of close-packed hard spheres=> local atomic environment similar => energy difference small
FCC structure HCP structureHCP structure Stacking of hard spheres
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Kai Nordlund, Department of Physics, University of Helsinki
2. Background: FCC surfaces
A crystal can be cut in different ways to produce different surfaces
These are denoted by their Miller indices, which is the crystal direction which is perpendicular to the surface plane
In cubic crystals Miller indices hkl are simply the vectors formed using the cube sides as the x y z axes.
Two important ones:
100 is a bit open
111 is the close-packed one
Has less missing bonds => less energy needed to form it
FCC 100 surface FCC 111 surface
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3. Manufacturing of nanoclusters
Manufacturing of nanoclusters in ‘vacuum’ usually starts from single atoms or very small molecules
These are produced in some sort of an atom/ion source
At its simplest thermal evaporation or a gas bottle
Laser evaporation
Magnetron sputtering
The atoms are then led into a gas or plasma where the condensation occurs
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3. Manufacturing of nanoclusters
In the gas the initially energetic atom are thermalized by collisions with the gas atoms
They occasionally also collide with each other, starting cluster nucleation
Important point to remember: a two-atom collision can not initiate nucleation: a three-body collision is needed
Freshman physics of energy conservation
Example: Cu in an Ar gas
[E. Kesälä, A.Kuronen and K. Nordlund (2005) ]
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3. Energy considerations
The major difference between vacuum/inert gas and liquid/atmospheric cluster growth comes is the role of energy or free energy
The cluster free energy may be written as
where Δg
is negative but γ
positive. Small particles have large surface curvature and hence large γ
During inert gas condensation there are no (or very weak) cluster- surroundings interactions
Hence cluster growth is usually energetically favourable at all sizes: Δg
dominates over γ
Another way of stating the same thing is to say that the metal-inert gas system is supersaturated in the metal vapor
In liquids and the atmosphere the system is in or close to thermodynamic equilibrium and γ
leads to a nucleation barrier
3 24 43Particle Bulk Surface BulkG G G r g r
r
Gparticle
Critical radius
Nucle ation
energy barrier
Equilibrium
Supersaturation
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3. Temperature profile
During inert gas kind of a formation the clusters are initially extremely hot
This is easy to understand: the cohesive energy of metals is of the order of 3 eV
Consider e.g. a 10-atom cluster at 300 K which takes in 1 more atom:
The cluster then gains suddenly 3 eV of energy
This is converted to kinetic energy in the cluster. Hence the cluster is heated by:
Thus during the initial stages of the formation the cluster is at least occasionally very hot
The gas/plasma acts as a heat bath cooling the cluster
Also radiative cooling may be important
3 32 2 10
3 3eV 3eV 2300 K2 B B
B Nk kE Nk T T
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3. Temperature profile, contd.
Example: temperature profile of Cu atoms forming clusters in an Ar gas at two different gas pressures
From MD simulations similar to the one just shown
[E. Kesälä, A.Kuronen and K. Nordlund Phys. Rev. B 75, 174121 (2007)]
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3. Nozzle-type cluster sources
One of the earliest varieties of cluster sources were those based on supersonic nozzles
On the left side the atoms are in a gas or plasma
This may be a pure gas or a mixture of atoms and an inert (noble) gas
Initial pressure may be several bars
This gas is then allowed to expand into a vacuum
Adiabatic expansion => gas cools strongly
Condensation occurs during cooling
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3. Nozzle-type sources
The original sources of this type produced almost no clusters at all (at most 1 cluster among a million atoms)
But with laval nozzles and improvements quite good cluster beams can be obtained
In a laval nozzle, the sides reflect atoms back allowing for more growth
At least some 10% of atoms in clusters
Middle of beam may be purely clusters
Especially well suited for noble gases like Ar
Initial gas may be at room temperature as it cools down to Ar condensation temperature on expansion
Can also well be upscaled to very high currents
[Seki, Matsuo, Takaoka, IEEE proceedings 2002]
Ar
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3. Nozzle-type sources
Thanks to the upscaling possibility this kind of cluster source has in fact been commercialized!
It turns out that Ar clusters are well suited for smoothing surfaces to an sub-1-atom layer smoothness
A device has been made which can smooth entire 300 mm Si wafers at a time
Needs to be conventionally polished in advance, though
Epion Ultra Smoother®
www.epion.com
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3. Gas-aggregation sources
Another important source type is the gas aggregation source
Vaporized atoms are introduced into a flow of cold gas
No nozzle involved
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Kai Nordlund, Department of Physics, University of Helsinki
3. Gas-aggregation sources
These kind of sources can produce quite ‘pure’ cluster beams with virtually no single atoms
Since atoms are obtained by vaporization/sputtering from a solid source the initial material can be virtually any solid
Well suited for at least metals and semiconductors
By mixing in a reactive gas in addition to the aggregation gas, also compound clusters can be made
E.g. TiN has been demonstrated [Qiang et al, Surf. Coat. Techn. 100 (1998) 27 ]
Large fraction of clusters is ionized (1/3 q=+1, 1/3 q=0, 1/3 q=-1)
Upscaling = ??
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4. Cluster sizes
A central concept in nanocluster sizes is whether they are monodisperse or polydisperse:
Monodisperse: all of some size
Polydisperse: variable size
The kind of sources just described all produce polydisperse cluster distributions
The best gas aggregation ones can give maybe 10% variation around the average size
Nozzle sources much more
Monodisperse clusters can be obtained with a mass filtering system after the source itself
Quadrupole mass spectrometers, typically ~1% resolution
Time of flight equipment: even single-atom resolution
Definition of ‘monodisperse’ a bit vague:
Cluster scientists tend to mean single-atom “true” monodispersity
Chemists often happy with resolution of a few %
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4. Cluster sizes: magic numbers
Measurements of cluster sizes tend to show an unsmooth distribution of cluster sizes
Some clusters are produced preferentially to others!
Example: Pb clusters
Related to cluster stability: the most stable clusters are less likely to break up if they are hot, and (alternatively) one more atom to it is more likely to be re-emitted if the cluster is hot
Directly comparable to nuclear physics: the most abundant elements in the universe are the ones with the stablest isotopes!
Growth conditions “slightly” different, though (stars and supernovas)
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4. Cluster sizes: magic numbers cont’d
There are actually 2 entirely different explanations to why clusters have magic numbers!
For large clusters and ones without electronic effects purely geometric ones dominate
E.g. noble metals at large sizes and noble gases at all sizes
Geometry means here two things: energy at 0 K but also entropy effects at elevated temperature: configurational entropy and vibrational modes may differ with different cluster sizes:
For small clusters of certain elements electronic effects dominate stability
E.g. alkali metals
( )config vibF E T S S
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Kai Nordlund, Department of Physics, University of Helsinki
4. Magic numbers due to geometry
The 0 K energetic geometry effects are easy to understand at least qualitatively
For instance elements with the FCC structure as the ground state tend to be in the form of perfect icosahedra (20-sided polygon with equilateral triangles as sides)
Perfect icosahedra can be formed from atoms only for certain fixed numbers of atoms:
Elements with other structures and larger clusters may obtain different magic numbers than these
6: 561 at5: 309 at0: 147 at0: 55 at2: 13 at1: 1 at
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4. Magic numbers due to geometry
This kind of behaviour has been observed experimentally.
For Xe+ clusters the magic numbers 13, 55 and 147 clearly stand out:
However, for Ar+ clusters only very weak maxima are visible:
Explanation not certain, but attributed to entropy effects by authors
[S. Prasalovich, PhD thesis, Univ. Gothenburg 2005]
[S. Prasalovich, PhD thesis, Univ. Gothenburg 2005]
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4. Magic numbers due to electronic effects
For instance in alkali metals (like sodium, Na) magic numbers are also observed:
This is widely accepted to be due to electronic effects
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4. Magic numbers due to electronic effects
The simplest way to treat the electronic effects is in the so called jellium model
In this model the atoms are treated as positive ions forming a constant positive background, the so called ‘jellium’ density
The conduction electrons are thought to move in this background density, described by a single parameter n0
The interaction of the electrons with the jellium is then calculated with e.g. density functional theory
The jellium models are useful in a wide range of systems (and
were to a large extent developed in Finland by Manninen, Nieminen, and Puska).
For alkali metals it is particularly easy to form jellium models, since each atom is easily ionized and contributes almost exactly one electron to the free electron gas
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4. Magic numbers due to electronic effects
The electronic structure of nanoclusters can be calculated in the jellium framework by considering the nanocluster as a simple background potential
First approximations e.g. spherical or harmonic wells
Then the Schrödinger equation is solved in this background almost exactly as for atoms
At its simplest the solution can be done for a single electron, leading to quantized energy levels with fixed possible occupations just like for the hydrogen atom
Also modern electronic-structure calculation methods can be used to solve the system for interacting electrons
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4. Magic numbers due to electronic effects
However, already the solution for non-interacting electrons gives peaks at numbers of electrons/atoms which agree with experiments:
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4. Magic numbers: electronic vs. geometric eff.
Another interesting question is of course where the cross-over from electronic to structural effects occurs
In Na this cross-over is believed to occur as high as around 2000 atoms!
- “reverse” measurement: dips correspond to magic numbers
[From Baletto and Ferrando,Rev. Mod. Phys. 77 (2005) 371:An excellent review on structuraleffects in nanoclusters]
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5. Structure of nanoclusters
The atomic structure of nanoclusters depends on a multitude of factors:
Bulk crystal structure
Surface energy vs. cohesive energy
Electronic effects
Entropic effects (at higher temperatures)
If a nanocluster would consist of a purely isotropic, homogeneous medium, it would always be purely spherical
Forming a surface requires energy (the surface (free) energy) and for a given volume of material the structure which has a minimum surface area is given by a sphere
- Exception: negative surface energy materials which actually want to be porous
However, all materials of course have an atomic structure, and hence at least small nanoclusters are unlikely to be spheres
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5. FCC nanocluster structures
Instead of giving an overview of different materials, we will now focus on what is probably the most studied case:
Nanoclusters made of materials which in the bulk have the FCC structure at low temperatures (0 K limit)
The equilibrium structure should be given by the balance of the following energy terms:
where r* is some effective radius giving the cluster size
We now assume the electronic effects are negligible (which at least for noble gas clusters certainly is a good approximation)
If the cluster is cut from a FCC single crystal, there should be no strain except that due to the surface (which is included in the surface energy terms)
( *) ( *) ( *) ( *) ( *)TOT cohesion surface strain electronicE r E r E r E r E r
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5. FCC nanocluster structures
Then the energy is given by:
The cohesion term is the same for the same number of atoms N
The surface term can be given as a sum over the individual surfaces over which the crystal is cut
But all cut directions which occur over the same crystal direction hkl have equivalent energies per area A
The sum can be grouped over which surface planes are present
( *) ( *) ( *)TOT cohesion surfaceE r E r E r
independent hkl
1
( *)hkl
N
surface hkl hkli
E r A
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5. Truncated octahedron
The minimum energy structure for a nanocluster of N atoms can then be found by seeking the minimum of the surface energy with respect to the different areas Ahkl :
The surface with the lowest energy tend to be the 111 and 100 surfaces (in this order)
It is possible to cut an FCC crystal only along 111 directions
But the surface-to-volume ratio becomes quite high
By cutting a FCC crystal along surfaces in both the 111 and 100 directions one arrives at the truncated octahedron shape (a.k.a. Wulff polyhedron): 8 111 and 6 100 surfaces, close to spherical: almost minimal total A
independent hkl
1min
hkl
N
hkl hkli
A
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5. Icosahedron
The (Mackay) icosahedron shape (already discussed above) can not be obtained by cutting a single FCC crystal
Instead it can be understood to be formed by first cutting 20 identical regular tetrahedral pyramids along 111 facets from an FCC crystal
These 20 pyramids can then be joint so that always one 111 surface is on the outside, and the rest on the inside
This forms a regular icosahedron
Because all surfaces are now 111 and the shape is very close to spherical, this has a low energy
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5. Icosahedron
But there is an important catch: the match of the tetrahedra is actually not perfect, there is a slight mismatch between the tetrahedra which translates into inequal atom bond lengths
In other words the cluster is strained
Moreover, when crossing from one tetrahedron to the next, the crystal structure is not preserved. Instead at each transition point there is a so called twin grain boundary
Because of this, this structure is often called also “multiply twinned icosahedron”
Thus the total energy now has four terms:
The strain term increases strongly with increasing cluster size
because the distance between the mismatch at the outer edge keeps increasing
( *) ( *) ( *) ( *) ( *)TOT cohesion surface strain grainboundaryE r E r E r E r E r
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5. Decahedron
Yet one more class of noncrystalline cluster shapes are the decahedral ones
These can be formed by combining five regular tetrahedra, leaving only 111 surfaces
However, doing this directly leads to a large surface-to- volume ratio
A solution is the Marks decahedron where some atoms are removed from the edges where the tetrahedra meet
This leads to a ‘defect’ energy at the surface raising the energy above that of the icosahedron for the smallest clusters
On the other hand the strain energy increases less with size
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5. Decahedral cluster, for real
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5. Icosahedra vs. truncated octahedra
The icosahedra have little strain and the lowest possible surface energy at the smallest cluster sizes
Hence by geometry alone one would expect that the smallest FCC clusters are icosahedral, while the larger ones are truncated octahedra
Possibly an intermediate regime of Marks decahedra
This is what is observed
Circles icosahedra
Triangles truncated octahedra
Squares decahedra
Also experimentally!
E.g. for Ar crossover at 750 atoms
[Baletto and Ferrando, Rev. Mod. Phys 77 (2005) 387]
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5. Special case: Co nanoclusters
An interesting special case is Co nanoclusters
The ground state crystal structure of Co is HCP
However, the FCC-HCP energy difference is small
It turns out that Co nanoclusters have the FCC structure as the ground state!
They can then have some of the same shapes as those for regular FCC clusters just described
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5. Very small nanoclusters
For the smallest nanoclusters, electronic effects take over at some point, and all of the previous becomes irrelevant
Example: shapes of Au nanoclusters
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5. Very small nanoclusters
Right now lots of research is going on about the structure of slightly larger Au nanoclusters in Finland:
Häkkinen and Manninen predict Au13 is still flat
Johansson and Pyykkö predict Au32 is a fullerene
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6. Melting of nanoclusters
Due to all of this, it is not surprising that nanoclusters melt at lower temperatures than the bulk material:
The surface energy can be considered to weaken the cohesion of the cluster as a whole
Surface melting known to occur below bulk melting also on macroscopic surfaces
The many possible configurations of the clusters may increase the entropy of the disordered state
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6. Melting of nanoclusters: results
Au nanoclusters, experiment and theory.
Smooth behaviour, can be understood with analytical model of interface weakening:
(C1 , C2 are undetermined constants)
Experimental results: Na clusters
Note that not even monotonous with size!
No clear correlation to magic numbers: not really understood!
[Roy L. Johnston: Atomic and Molecular Clusters. Taylor & Francis 2002]
, 1
22
, 2 ,3
( )melt melt bulk
melt bulk melt bulk
AreaT r T CVolume
CrT C Tr r