IEEE Transactions on Magnetics. 2017, V. 53, n. 11, 2900505
Editorial :
Institute of Electrical and Electronics Engineers (IEEE)
Fecha de publicación :
sep-2017
ISSN :
0018-9464
DOI:
10.1109/TMAG.2017.2727880
Resumen :
Advances 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.
Palabras clave:
Adaptive algorithms genetic algorithms magnetic materials magnetic properties permanent magnets
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