Application of Genetic Algorithms to Geometry Optimization of Microclusters: A Comparative Study of Empirical Potential Energy Functions for Silicon

Application of Genetic Algorithms to Geometry Optimization of Microclusters: A Comparative Study of Empirical Potential Energy Functions for Silicon

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...

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Veröffentlicht in:Materials and manufacturing processes 2003-05, Vol.18 (3), p.329-339
Hauptverfasser: Erkoç, Şakir, Leblebicioğlu, Kemal, Halici, Uğur
Format: Artikel
Sprache:eng
Schlagworte:
Empirical potentials
Genetic algorithms
Silicon microclusters
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Beschreibung
Zusammenfassung: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.
ISSN:1042-6914
1532-2475
DOI:10.1081/AMP-120022014