2026-04-28T07:10:51Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/57232024-07-24T11:07:08Zcom_10259_9476com_10259.4_106com_10259_2604col_10259_9478

00925njm 22002777a 4500 dc Nieves Cordones, Pablo author Arapan, Sergiu author Cuesta López, Santiago author 2017-08 Summary form only given. In this work, we present a general overview, analysis and software implementation of a particular AGA, which has been proposed for discovering new RE-free magnetic crystal phases in the context of the EU-H2020 NOVAMAG project. The workflow diagram related to the Modelling Data Elements (MODA) of the magnetic crystal structure calculation based on AGA was shown. In particular, we make use of an AGA, implemented through USPEX and VASP codes, to predict new magnetic crystal phases, where those structures with better magnetic properties for a permanent magnet are selected and analyzed in more detail. Such a methodology has been preliminary compared to well-known experimentally reported properties compounds, showing an excellent agreement. In addition, we show recent results predicted by AGA in CoFe 2n X (n=1,2,3,4,5; where X=C, P, Hf, Zr, ...), where we found compounds with many metastable structures which fulfill the initial requirements (negative enthalpy of formation ΔHF<;0, high saturation magnetization μ 0 M S >1T and non-cubic lattice system) for permanent magnet development. 2150-4601 http://hdl.handle.net/10259/5723 10.1109/INTMAG.2017.8007671 Crystals Saturation magnetization Permanent magnets Optimization Enthalpy Magnetic analysis Compounds An adaptive genetic algorithm approach for predicting magnet-ic structure suitable for high-performance permanent magnet development