RT info:eu-repo/semantics/article
T1 Applying high‐throughput computational techniques for discovering next‐generation of permanent magnets
A1 Nieves Cordones, Pablo
A1 Arapan, Sergiu
A1 Hadjipanayis, G. C. .
A1 Niarchos, D. .
A1 Barandiaran, J.M.
A1 Cuesta López, Santiago
K1 magnetism
K1 magnetic materials
K1 permanent magnets
K1 genome materials
K1 high-throughput computation
K1 Física
K1 Physics
AB The uncertainty in rare‐earth market resulted in worldwide efforts to develop rare‐earth‐lean/free permanent magnets. In this paper, we discuss about this problem and analyse how advances in computational and theoretical condensed matter physics could be essential in the development of a new generation of high‐performance permanent magnets via high‐throughput computational technique for material design. Additionally, we show that an adaptive genetic algorithm based methodology could be a useful tool for finding new magnetic phases. In particular, we apply such approach to Fe0.75Sn0.25 compound recovering well‐known experimental results and also finding new low‐energy magnetic metastable structures
PB Wiley
SN 1862-6351
YR 2016
FD 2016-12
LK http://hdl.handle.net/10259/4959
UL http://hdl.handle.net/10259/4959
LA eng
NO NOVAMAG project, under Grant Agreement No. 686056, EU Horizon 2020 Framework Programme for Research and Innova-tion (2014-2020). Authors also acknowledge the Spanish Super-computing Network (RES) and CESVIMA for providing super-computational resources under Ref. QCM-2016-2-0034
DS Repositorio Institucional de la Universidad de Burgos
RD 26-abr-2024