RT info:eu-repo/semantics/article
T1 Database of novel magnetic materials for high-performance permanent magnet development
A1 Nieves Cordones, Pablo
A1 Arapan, Sergiu
A1 Maudes Raedo, Jesús M.
A1 Marticorena Sánchez, Raúl
A1 Brío, N.L. del
A1 Kovacs, A.
A1 Echevarria Bonet, C.
A1 Salazar, D.
A1 Weischenberg, J.
A1 Zhang, H.
A1 Vekilova, O.Yu.
A1 Serrano López, Roberto
A1 Barandiaran, J.M.
A1 Skokov, Konstantin
A1 Gutfleisch, O.
A1 Eriksson, O.
A1 Herper, H.C.
A1 Schrefl, T.
A1 Cuesta López, Santiago
K1 Database
K1 Magnetic materials
K1 Permanent magnets
K1 Materials Genome Initiative
K1 High-throughput
K1 VASP
K1 Computer simulation
K1 Novamag
K1 Materiales
K1 Materials
K1 Informática
K1 Computer science
AB This paper describes the open Novamag database that has been developed for the design of novel Rare-Earth free/lean permanent magnets. Its main features as software technologies, friendly graphical user interface, advanced search mode, plotting tool and available data are explained in detail. Following the philosophy and standards of Materials Genome Initiative, it contains significant results of novel magnetic phases with high magnetocrystalline anisotropy obtained by three computational high-throughput screening approaches based on a crystal structure prediction method using an Adaptive Genetic Algorithm, tetragonally distortion of cubic phases and tuning known phases by doping. Additionally, it also includes theoretical and experimental data about fundamental magnetic material properties such as magnetic moments, magnetocrystalline anisotropy energy, exchange parameters, Curie temperature, domain wall width, exchange stiffness, coercivity and maximum energy product, that can be used in the study and design of new promising high-performance Rare-Earth free/lean permanent magnets. The results therein contained might provide some insights into the ongoing debate about the theoretical performance limits beyond Rare-Earth based magnets. Finally, some general strategies are discussed to design possible experimental routes for exploring most promising theoretical novel materials found in the database.
PB Elsevier
SN 0927-0256
YR 2019
FD 2019-10
LK http://hdl.handle.net/10259/5783
UL http://hdl.handle.net/10259/5783
LA eng
NO European Horizon 2020 Framework Programme for Research and Innovation (2014-2020) under Grant Agreement No. 686056, NOVAMAG. European Regional Development Fund in the IT4Innovations national supercomputing center – path to exascale project, project number CZ 02.1.01/0.0/0.0/16–013/0001791 within the Operational Programme Research, Development and Education
DS Repositorio Institucional de la Universidad de Burgos
RD 24-dic-2024