2026-04-19T09:33:06Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/47692024-07-24T11:36:36Zcom_10259_9476com_10259.4_106com_10259_2604col_10259_9477
Nieves Cordones, Pablo
392
500
0000-0002-6633-9643
Arapan, Sergiu
33
500
Cuesta López, Santiago
133
500
0000-0002-7401-3889
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.
This work was supported in part by the NOVAMAG project
under Grant 686056, in part by the EU Horizon 2020 Framework
Program for Research and Innovation (2014–2020),
and in part by the Spanish Supercomputing Network and
CESVIMA for providing computational resources under
Grant QCM-2016-2-0034.
application/pdf
eng
Institute of Electrical and Electronics Engineers (IEEE)
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
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
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
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oai:riubu.ubu.es:10259/4769
2024-07-24 13:36:36.762
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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