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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Citation Formats

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.