New algorithm in the basin hopping Monte Carlo to find the global minimum structure of unary and, binary metallic nanoclusters

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The basin-hopping Monte Carlo algorithm was modified to more effectively determine a global minimum structure in pure and binary metallic nanoclusters. For a pure metallic Ag(55) nanocluster, the newly developed quadratic basin-hopping Monte Carlo algorithm is 3.8 times more efficient than the standard basin-hopping Monte Carlo algorithm. For a bimetallic Ag(42)Pd(13) nanocluster, the new algorithm succeeds in finding the global minimum structure by 18.3% even though the standard basin-hopping Monte Carlo algorithm fails to achieve it. (C) 2008 American Institute of Physics.
Publisher
AMER INST PHYSICS
Issue Date
2008-04
Language
English
Article Type
Article
Keywords

LENNARD-JONES CLUSTERS; GENETIC ALGORITHM; BIMETALLIC NANOPARTICLES; NANOALLOY CLUSTERS; GOLD PARTICLES; OPTIMIZATION; SIMULATION

Citation

JOURNAL OF CHEMICAL PHYSICS, v.128, no.14, pp.144702-1 - 144702-4

ISSN
0021-9606
DOI
10.1063/1.2900644
URI
http://hdl.handle.net/10203/10878
Appears in Collection
MS-Journal Papers(저널논문)
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