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Database of novel magnetic materials for high-performance permanent magnet development

dc.contributor.authorNieves, P.
dc.contributor.authorArapan, S.
dc.contributor.authorMaudes, J.
dc.contributor.authorEchevarría Bonet, Cristina 
dc.date.accessioned2019-07-02T08:19:53Z
dc.date.available2019-07-02T08:19:53Z
dc.date.issued2019-06
dc.identifier.citationComputational Materials Science, 168, p. 188-202 (2019); doi:10.1016/j.commatsci.2019.06.007
dc.identifier.urihttp://hdl.handle.net/10651/51463
dc.description.abstractThis 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.spa
dc.description.sponsorshipThis work was supported by the European Horizon 2020 Framework Programme for Research and Innovation (2014-2020) under Grant Agreement No. 686056, NOVAMAG.spa
dc.description.statementofresponsibilityNieves, P., Arapan, S., Maudes-Raedo, J., Marticorena-Sánchez, R., Del Brío, N.L., Kovacs, A., Echevarria-Bonet, C., Salazar, D., Weischenberg, J., Zhang, H., Vekilova, O.Y., Serrano-López, R., Barandiaran, J.M., Skokov, K., Gutfleisch, O., Eriksson, O., Herper, H.C., Schrefl, T., Cuesta-López, S.
dc.format.extentp. 168-202spa
dc.language.isoengspa
dc.relation.ispartofComputational Materials Science, 168spa
dc.rights© 2019 Elsevier B.V. All rights reserved.
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectdatabasespa
dc.subjectmagnetic materialsspa
dc.subjectpermanent magnetsspa
dc.subjectmaterials genome initiativespa
dc.subjectHigh-throughputspa
dc.subjectVASPspa
dc.subjectComputer simulationspa
dc.subjectNovamagspa
dc.titleDatabase of novel magnetic materials for high-performance permanent magnet developmentspa
dc.typejournal articlespa
dc.identifier.doi10.1016/j.commatsci.2019.06.007
dc.relation.projectIDH2020/868056spa
dc.relation.publisherversionhttps://doi.org/10.1016/j.commatsci.2019.06.007
dc.rights.accessRightsopen accessspa
dc.type.hasVersionSMUR


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© 2019 Elsevier B.V. All rights reserved.
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