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dc.contributor.authorNieves Cordones, Pablo 
dc.contributor.authorArapan, Sergiu 
dc.contributor.authorCuesta López, Santiago 
dc.date.accessioned2018-03-23T11:20:24Z
dc.date.available2018-03-23T11:20:24Z
dc.date.issued2017-09
dc.identifier.issn0018-9464
dc.identifier.urihttp://hdl.handle.net/10259/4769
dc.description.abstractAdvances 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.en
dc.description.sponsorshipThis work was supported in part by the NOVAMAG project under Grant 686056, in part by the EU Horizon 2020 Framework Program for Research and Innovation (2014–2020), and in part by the Spanish Supercomputing Network and CESVIMA for providing computational resources under Grant QCM-2016-2-0034.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofIEEE Transactions on Magnetics. 2017, V. 53, n. 11, 2900505en
dc.subjectAdaptive algorithmsen
dc.subjectgenetic algorithmsen
dc.subjectmagnetic materialsen
dc.subjectmagnetic propertiesen
dc.subjectpermanent magnetsen
dc.titleExploring the Crystal Structure Space of CoFe2P by Using Adaptive Genetic Algorithm Methodsen
dc.typeArtículoes
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttps://doi.org/10.1109/TMAG.2017.2727880
dc.identifier.doi10.1109/TMAG.2017.2727880
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/686056
dc.relation.projectIDinfo:eu-repo/grantAgreement/CEVISMA/QCM-2016-2-0034
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen


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