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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

Citations (13)

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Read on this site (5)

Nazim Dugan & Şakir Erkoç. (2009) Genetic Algorithm Application to the Structural Properties of Si–Ge Mixed Clusters. Materials and Manufacturing Processes 24:3, pages 250-254.
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K. Mitra. (2008) Genetic algorithms in polymeric material production, design, processing and other applications: a review. International Materials Reviews 53:5, pages 275-297.
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Kumara Sastry, David.E. Goldberg & D. D. Johnson. (2007) Scalability of a Hybrid Extended Compact Genetic Algorithm for Ground State Optimization of Clusters. Materials and Manufacturing Processes 22:5, pages 570-576.
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N. Chakraborti, S. Das, R. Jayakanth, R. Pekoz & Ş. Erkoç. (2007) Genetic Algorithms Applied to Li+ Ions Contained in Carbon Nanotubes: An Investigation Using Particle Swarm Optimization and Differential Evolution Along with Molecular Dynamics. Materials and Manufacturing Processes 22:5, pages 562-569.
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N. Chakraborti. (2004) Genetic algorithms in materials design and processing. International Materials Reviews 49:3-4, pages 246-260.
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Articles from other publishers (8)

Hande Toffoli, Sakir Erkoç & Daniele Toffoli. 2017. Handbook of Computational Chemistry. Handbook of Computational Chemistry 1459 1513 .
Hande Toffoli, Sakir Erkoç & Daniele Toffoli. 2016. Handbook of Computational Chemistry. Handbook of Computational Chemistry 1 55 .
Jun Sun, Ji Zhao, Xiaojun Wu, Wei Fang, Yujie Cai & Wenbo Xu. (2010) Parameter estimation for chaotic systems with a Drift Particle Swarm Optimization method. Physics Letters A 374:28, pages 2816-2822.
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Nazım Dugan & Şakir Erkoç. (2009) Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles. Algorithms 2:1, pages 410-428.
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Nazım Dugan & Şakir Erkoç. (2009) Genetic algorithm–Monte Carlo hybrid geometry optimization method for atomic clusters. Computational Materials Science 45:1, pages 127-132.
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Debashis Bandyopadhyay & Manish Kumar. (2008) The electronic structures and properties of transition metal-doped silicon nanoclusters: A density functional investigation. Chemical Physics 353:1-3, pages 170-176.
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N. Chakraborti, R. Jayakanth, S. Das, E. D. Çalişir & Ş. Erkoç. (2007) Evolutionary and Genetic Algorithms Applied to Li+-C System: Calculations Using Differential Evolution and Particle Swarm Algorithm. Journal of Phase Equilibria and Diffusion 28:2, pages 140-149.
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N. Chakraborti, P. Mishra & Ş. Erkoç. (2004) A study of the cu clusters using gray-coded genetic algorithms and differential evolution. Journal of Phase Equilibria and Diffusion 25:1, pages 16-21.
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