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A study of the Cu clusters using gray-coded genetic algorithms and differential evolution
Date
2004-02-01
Author
Chakraborti, N
Mishra, P
Erkoç, Şakir
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Energy minimization studies were carried out for a number of Cu clusters using binary and Gray-coded genetic algorithms along with real coded differential evolution, and their optimized ground state geometries are presented. The potential energy function is constructed using a two-body interaction methodology, involving both attractive and repulsive pair-potential terms. The results obtained through the evolutionary algorithms are compared against those obtained earlier using a Monte Carlo technique.
Subject Keywords
Materials Chemistry
,
Condensed Matter Physics
,
Metals and Alloys
URI
https://hdl.handle.net/11511/57246
Journal
JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
DOI
https://doi.org/10.1361/10549710417650
Collections
Department of Physics, Article