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

2003-01-01
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.
MATERIALS AND MANUFACTURING PROCESSES

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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.