2024-03-29T07:23:56Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/47692023-03-31T12:36:38Zcom_10259_4759com_10259_2604col_10259_4760
Repositorio Institucional de la Universidad de Burgos
author
Nieves Cordones, Pablo
author
Arapan, Sergiu
author
Cuesta López, Santiago
2018-03-23T11:20:24Z
2018-03-23T11:20:24Z
2017-09
0018-9464
http://hdl.handle.net/10259/4769
10.1109/TMAG.2017.2727880
Advances in theoretical and computational condensed matter physics have opened the possibility to predict and design magnetic materials for specific technological applications. In this paper, we use the adaptive-genetic algorithm technique for exploring the low-energy crystal structure configurations of Co0.25Fe0.5P0.25, aiming to find new low-energy non-cubic phases with high saturation magnetization that might be interesting for high-performance permanent magnet development.
eng
Adaptive algorithms
genetic algorithms
magnetic materials
magnetic properties
permanent magnets
Exploring the Crystal Structure Space of CoFe2P by Using Adaptive Genetic Algorithm Methods
info:eu-repo/semantics/article
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URL
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URL
https://riubu.ubu.es/bitstream/10259/4769/3/Nieves-IEEETM_2017.pdf.txt
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Nieves-IEEETM_2017.pdf.txt