2026-04-19T17:02:34Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/47692024-07-24T11:36:36Zcom_10259_9476com_10259.4_106com_10259_2604col_10259_9477
2018-03-23T11:20:24Z
urn:hdl:10259/4769
Exploring the Crystal Structure Space of CoFe2P by Using Adaptive Genetic Algorithm Methods
Nieves Cordones, Pablo
Arapan, Sergiu
Cuesta López, Santiago
Adaptive algorithms
genetic algorithms
magnetic materials
magnetic properties
permanent magnets
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.
2018-03-23T11:20:24Z
2018-03-23T11:20:24Z
2017-09
info:eu-repo/semantics/article
0018-9464
http://hdl.handle.net/10259/4769
10.1109/TMAG.2017.2727880
eng
IEEE Transactions on Magnetics. 2017, V. 53, n. 11, 2900505
https://doi.org/10.1109/TMAG.2017.2727880
info:eu-repo/grantAgreement/EC/H2020/686056
info:eu-repo/grantAgreement/CEVISMA/QCM-2016-2-0034
info:eu-repo/semantics/openAccess
Institute of Electrical and Electronics Engineers (IEEE)