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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 Física Physics 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 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 2018-10-08T07:44:19Z 2018-10-08T07:44:19Z 2016-12 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion 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 application/pdf Wiley