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, cilt.18, ss.329-339, 2003 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 18 Konu: 3
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1081/amp-120022014
  • Dergi Adı: MATERIALS AND MANUFACTURING PROCESSES
  • Sayfa Sayıları: ss.329-339

Özet

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.