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


Erkoc S., Leblebicioglu K., Halici U.

MATERIALS AND MANUFACTURING PROCESSES, vol.18, no.3, pp.329-339, 2003 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 3
  • Publication Date: 2003
  • Doi Number: 10.1081/amp-120022014
  • Journal Name: MATERIALS AND MANUFACTURING PROCESSES
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.329-339

Abstract

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.