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Application of genetic algorithms to geometry optimization of microclusters: A comparative study of empirical potential energy functions for silicon
Date
2003-01-01
Author
Erkoc, S
Leblebicioğlu, Mehmet Kemal
Halıcı, Uğur
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Evolutionary computation techniques (in particular, genetic algorithms) have been applied to optimize the structure of microclusters. Various empirical potential energy functions have been used to describe the interactions among the atoms in the clusters. A comparative study of silicon microclusters has been performed.
Subject Keywords
Mechanical Engineering
,
Industrial and Manufacturing Engineering
,
General Materials Science
,
Mechanics of Materials
URI
https://hdl.handle.net/11511/39047
Journal
MATERIALS AND MANUFACTURING PROCESSES
DOI
https://doi.org/10.1081/amp-120022014
Collections
Department of Electrical and Electronics Engineering, Article
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S. Erkoc, M. K. Leblebicioğlu, and U. Halıcı, “Application of genetic algorithms to geometry optimization of microclusters: A comparative study of empirical potential energy functions for silicon,”
MATERIALS AND MANUFACTURING PROCESSES
, pp. 329–339, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39047.