2026-04-19T16:35:53Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/47692024-07-24T11:36:36Zcom_10259_9476com_10259.4_106com_10259_2604col_10259_9477

Nieves Cordones, Pablo Arapan, Sergiu 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. 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