2026-06-02T00:31:44Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/49592024-07-24T11:40:53Zcom_10259_9476com_10259.4_106com_10259_2604col_10259_9477

Nieves Cordones, Pablo Arapan, Sergiu Hadjipanayis, G. C. . Niarchos, D. . Barandiaran, J.M. Cuesta López, Santiago 2018-10-08T07:44:19Z 2018-10-08T07:44:19Z 2016-12 1862-6351 http://hdl.handle.net/10259/4959 10.1002/pssc.201600103 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 eng info:eu-repo/semantics/openAccess magnetism magnetic materials permanent magnets genome materials high-throughput computation Applying high‐throughput computational techniques for discovering next‐generation of permanent magnets info:eu-repo/semantics/article