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, sa.3, ss.329-339, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 3
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1081/amp-120022014
  • Dergi Adı: MATERIALS AND MANUFACTURING PROCESSES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.329-339
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

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.