Genetic algorithm optimization of defect clusters in crystalline materials
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1250288
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Computational Materials Science
- Additional Journal Information:
- Journal Name: Computational Materials Science Journal Volume: 98 Journal Issue: C; Journal ID: ISSN 0927-0256
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
Citation Formats
Kaczmarowski, Amy, Yang, Shujiang, Szlufarska, Izabela, and Morgan, Dane. Genetic algorithm optimization of defect clusters in crystalline materials. Netherlands: N. p., 2015.
Web. doi:10.1016/j.commatsci.2014.10.062.
Kaczmarowski, Amy, Yang, Shujiang, Szlufarska, Izabela, & Morgan, Dane. Genetic algorithm optimization of defect clusters in crystalline materials. Netherlands. https://doi.org/10.1016/j.commatsci.2014.10.062
Kaczmarowski, Amy, Yang, Shujiang, Szlufarska, Izabela, and Morgan, Dane. Sun .
"Genetic algorithm optimization of defect clusters in crystalline materials". Netherlands. https://doi.org/10.1016/j.commatsci.2014.10.062.
@article{osti_1250288,
title = {Genetic algorithm optimization of defect clusters in crystalline materials},
author = {Kaczmarowski, Amy and Yang, Shujiang and Szlufarska, Izabela and Morgan, Dane},
abstractNote = {},
doi = {10.1016/j.commatsci.2014.10.062},
journal = {Computational Materials Science},
number = C,
volume = 98,
place = {Netherlands},
year = {Sun Feb 01 00:00:00 EST 2015},
month = {Sun Feb 01 00:00:00 EST 2015}
}
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https://doi.org/10.1016/j.commatsci.2014.10.062
https://doi.org/10.1016/j.commatsci.2014.10.062
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Cited by: 22 works
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