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 23-nov-2024