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2018-10-08T07:44:19Z urn:hdl:10259/4959 Applying high‐throughput computational techniques for discovering next‐generation of permanent magnets Nieves Cordones, Pablo Arapan, Sergiu Hadjipanayis, G. C. . Niarchos, D. . Barandiaran, J.M. Cuesta López, Santiago magnetism magnetic materials permanent magnets genome materials high-throughput computation 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 2018-10-08T07:44:19Z 2018-10-08T07:44:19Z 2016-12 info:eu-repo/semantics/article 1862-6351 http://hdl.handle.net/10259/4959 10.1002/pssc.201600103 eng Physica status solidi (c). 2016, V. 13, n. 10-12, p. 942-950 https://doi.org/10.1002/pssc.201600103 info:eu-repo/grantAgreement/EC/H2020/686056 info:eu-repo/grantAgreement/SpanishSupercomputingNetwork/QCM‐2016‐2‐0034 info:eu-repo/semantics/openAccess Wiley