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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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.