2026-04-19T15:09:40Zhttps://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. eng info:eu-repo/semantics/openAccess 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