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Article Dans Une Revue IEEE Magnetics Letters Année : 2023

Materials Informatics for the Development and Discovery of Future Magnetic Materials

Résumé

his report summarizes the recent development of magnetic materials search using artificial intelligence (AI) and machine learning (ML). The report briefly introduces ML and AI approaches to materials discovery, and the authors offer a flowchart to aid the selection of relevant approaches for their material search. The report also covers theauthors' recent research activities in magnetism and quantum materials, including topological materials, Heusler alloys, interfaces and permanent magnets. This overview is based on a recent symposium at IEEE Intermag 2023.
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Dates et versions

hal-04234599 , version 1 (10-10-2023)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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Ryotaro Okabe, Mingda Li, Yuma Iwasaki, Nicolas Regnault, Claudia Felser, et al.. Materials Informatics for the Development and Discovery of Future Magnetic Materials. IEEE Magnetics Letters, 2023, 14, pp.1-5. ⟨10.1109/LMAG.2023.3320888⟩. ⟨hal-04234599⟩
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