Application of genetic algorithms to geometry optimization of microclusters: A comparative study of empirical potential energy functions for silicon

2003-01-01
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.
Mechanical Engineering, Industrial and Manufacturing Engineering, General Materials Science, Mechanics of Materials
https://hdl.handle.net/11511/39047
MATERIALS AND MANUFACTURING PROCESSES
Department of Electrical and Electronics Engineering, Article

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Citation Formats
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.
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