RT info:eu-repo/semantics/article T1 Exploring the Crystal Structure Space of CoFe2P by Using Adaptive Genetic Algorithm Methods A1 Nieves Cordones, Pablo A1 Arapan, Sergiu A1 Cuesta López, Santiago K1 Adaptive algorithms K1 genetic algorithms K1 magnetic materials K1 magnetic properties K1 permanent magnets AB 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. PB Institute of Electrical and Electronics Engineers (IEEE) SN 0018-9464 YR 2017 FD 2017-09 LK http://hdl.handle.net/10259/4769 UL http://hdl.handle.net/10259/4769 LA eng NO This work was supported in part by the NOVAMAG projectunder Grant 686056, in part by the EU Horizon 2020 FrameworkProgram for Research and Innovation (2014–2020),and in part by the Spanish Supercomputing Network andCESVIMA for providing computational resources underGrant QCM-2016-2-0034. DS Repositorio Institucional de la Universidad de Burgos RD 29-mar-2024