2006
DOI: 10.1103/physrevb.73.165411
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Diffusion of small two-dimensional Cu islands on Cu(111) studied with a kinetic Monte Carlo method

Abstract: Diffusion of small two-dimensional Cu islands ͑containing up to 10 atoms͒ on Cu͑111͒ has been studied using the newly developed self-learning Kinetic Monte Carlo ͑SLKMC͒ method which is based on a database of diffusion processes and their energetics accumulated automatically during the implementation of the SLKMC code. Results obtained from simulations in which atoms hop from one fcc hollow site to another are compared with those obtained from a parallel set of simulations in which the database is supplemented… Show more

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Cited by 62 publications
(91 citation statements)
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“…Note that this contrasts with the situation for atomic systems where growth phenomena for both, monolayers and multilayers have been studied intensely for a wide range of systems [38][39][40] . These studies include even subtle phenomena such as concerted gliding of islands 41 or direction-resolved step-edge diffusion 42,43 . In our recent study we have obtained, together with real-time experiments 13 , a consistent set of energybarrier parameters for KMC simulations which describe measurable morphological quantities such as island density and layer coverage as functions of time.…”
Section: Introductionmentioning
confidence: 99%
“…Note that this contrasts with the situation for atomic systems where growth phenomena for both, monolayers and multilayers have been studied intensely for a wide range of systems [38][39][40] . These studies include even subtle phenomena such as concerted gliding of islands 41 or direction-resolved step-edge diffusion 42,43 . In our recent study we have obtained, together with real-time experiments 13 , a consistent set of energybarrier parameters for KMC simulations which describe measurable morphological quantities such as island density and layer coverage as functions of time.…”
Section: Introductionmentioning
confidence: 99%
“…The most spectacular difference is the almost complete absence of oscillations in the diffusion coefficient with size for the smaller islands (1 − 10 atoms) [26]. This is seen to occur when small islands Ref.…”
Section: Diffusion Coefficientsmentioning
confidence: 86%
“…The small difference between the two calculated values might be due to the fact that the experimental barrier relates mainly to fcc↔fcc hoping whereas that from MD simulations stems largely from fcc↔hcp hopping. Therefore, keeping the barrier for fcc↔hcp hopping smaller than that for fcc↔fcc hopping [16,17] , it is good to hope that fcc↔hcp hops little bias our calculated effective energy barrier toward small values.…”
Section: Resultsmentioning
confidence: 99%
“…From several sets of simulations we find the error in D to be less than 4%. Extraction of the effective diffusion energy barrier ∆E and the diffusion prefactor D 0 for the Cu pentamer is enabled by the smooth Arrhenius behavior [17] of the diffusion coefficient D Figure 5. The negligible temperature dependence of the prefactors between ~300 and 600 K is well understood since this temperature range is low enough that the potential energy of the entire crystal can be considered harmonic [27,28] and the atomic vibrations treated as small oscillations, while high enough that quantum effects may be neglected [27] .…”
Section: Resultsmentioning
confidence: 99%
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