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Materials and Manufacturing Processes Volume 18, 2003 - Issue 3
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Original Articles

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

Şakir Erkoç Department of Physics, Middle East Technical University, Ankara, Turkey; Department of Physics, Middle East Technical University, 06531 Ankara, TurkeyCorrespondence[email protected]
,
Kemal Leblebicioğlu Computer Vision and Intelligent Systems Research Laboratory, Middle East Technical University, Ankara, Turkey; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey
&
Uğur Halici Computer Vision and Intelligent Systems Research Laboratory, Middle East Technical University, Ankara, Turkey; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey
Pages 329-339 | Published online: 07 Feb 2007
 
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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.

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