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Genetic Algorithm Application to the Structural Properties of Si-Ge Mixed Clusters
Date
2009-01-01
Author
Dugan, Nazim
Erkoç, Şakir
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Optimum geometries of silicon-germanium (Si-Ge) clusters are found using a single parent genetic algorithm. 100 atom and 150 atom clusters are studied with some variety of compositions and initial geometries. Total interaction energies, distances of Si and Ge atoms to the cluster centers, and average bond lengths are calculated. Si-core Ge-shell geometry is found to be favorable compared to other geometries.
Subject Keywords
Mechanical Engineering
,
Industrial and Manufacturing Engineering
,
General Materials Science
,
Mechanics of Materials
URI
https://hdl.handle.net/11511/56482
Journal
MATERIALS AND MANUFACTURING PROCESSES
DOI
https://doi.org/10.1080/10426910802675830
Collections
Department of Physics, Article
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N. Dugan and Ş. Erkoç, “Genetic Algorithm Application to the Structural Properties of Si-Ge Mixed Clusters,”
MATERIALS AND MANUFACTURING PROCESSES
, pp. 250–254, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56482.