1999
DOI: 10.1103/physrevlett.82.1732
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Nucleation Kinetics on Inhomogeneous Substrates: Al/Au(111)

Abstract: We report a quantitative atomic scale study of nucleation kinetics on an inhomogeneous substrate. Our model system, Al͞Au͑111͒-͑ p 3 3 22͒, reveals a distinct nucleation transition due to the repulsive nature of surface dislocations. Whereas for T , 200 K Al adatoms are confined to quasipseudomorphic stacking areas experiencing a very small diffusion barrier ͑30 6 5 meV͒, at T . 200 K surface dislocations, representing repulsive barriers of DE ഠ 560 meV, can be surmounted. The results illustrate the significan… Show more

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Cited by 62 publications
(50 citation statements)
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References 27 publications
(21 reference statements)
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“…As we will see below, mean-®eld nucleation theory in its classical form for isotropic substrates is no longer applicable for nucleation on inhomogeneous substrates. A quantitative description therefore necessitates realistic KMC simulations [190]. In these simulations barriers for moving up dislocations are larger than those for descending from dislocations.…”
Section: Adatom Diffusion On Au(1 1 1) ± the Effect Of Dislocationsmentioning
confidence: 99%
“…As we will see below, mean-®eld nucleation theory in its classical form for isotropic substrates is no longer applicable for nucleation on inhomogeneous substrates. A quantitative description therefore necessitates realistic KMC simulations [190]. In these simulations barriers for moving up dislocations are larger than those for descending from dislocations.…”
Section: Adatom Diffusion On Au(1 1 1) ± the Effect Of Dislocationsmentioning
confidence: 99%
“…The development of nanotechnology requires good understanding of the evolution of the shape, size and distribution of nanoparticles in different growth processes [8,9]. Nanoparticles have been commonly grown in physical [10,11] and electrochemical processes [12 -16]. In the physical deposition process, the deposition rate and surface diffusion coefficient determine the shape, size and density of the nanoparticles on a specific substrate surface [17].…”
Section: Introductionmentioning
confidence: 99%
“…It is by no means a singular property for the present system. In a recent investigation of the Al͞Au͑111͒ system, we found Arrhenius behavior with a minute migration barrier ͑E m 30 6 5 meV͒ along with an even more pronounced reduction of the preexponential factor, which was determined to D 0 ഠ 5 3 10 213 cm 2 ͞s corresponding to an effective attempt frequency of n 0 2.4 3 10 3 s 21 [26]. Similar, albeit less drastic effects, exist for the migration of Ag on various fcc surfaces [18,24,27], where, with the migration barrier decreasing from 168 6 5 to 60 6 10 meV, the corresponding preexponential factor drops from the universal value D 0 1.4 3 10 2260.3 ͑n 0 7 3 10 1360.3 s 21 ͒ to D 0 2 3 10 2760.6 cm 2 ͞s ͑n 0 1 3 10 960.6 s 21 ͒.…”
mentioning
confidence: 99%
“…Similar, albeit less drastic effects, exist for the migration of Ag on various fcc surfaces [18,24,27], where, with the migration barrier decreasing from 168 6 5 to 60 6 10 meV, the corresponding preexponential factor drops from the universal value D 0 1.4 3 10 2260.3 ͑n 0 7 3 10 1360.3 s 21 ͒ to D 0 2 3 10 2760.6 cm 2 ͞s ͑n 0 1 3 10 960.6 s 21 ͒. Note that with all these systems dimer stability ͑i 1͒ and the absence of cluster mobility were ensured by investigating the onset of coarsening for dimers [24] or by analyzing the island size distributions [26].…”
mentioning
confidence: 99%