Artificial Intelligence—Engineering Magnetic Materials: Current Status and a Brief Perspective

Magnetochemistry

Elio A. Périgo¹  Rubens N. de Faria² 

[1] ABB US Research Center, 1021 Main Campus Drive, Raleigh, NC 27606, USA;Nuclear and Energy Research Institute, Sao Paulo 05508-000, Brazil;

关键词: artificial intelligence;    amorphous alloys;    hard magnetic materials;    soft magnetic materials;    machine learning;   

DOI  :  10.3390/magnetochemistry7060084

来源: DOAJ

【 摘 要 】

The implementation of artificial intelligence into the research and development of (currently) the most economically relevant classes of engineering hard and soft magnetic materials is addressed. Machine learning is nowadays the key approach utilized in the discovery of new compounds, physical–chemical properties prediction, microstructural/magnetic characterization, and applicability of permanent magnets and crystalline/amorphous soft magnetic alloys. Future opportunities are envisioned on at least two fronts: (a) ultra-low losses materials, as well as processes that enable their manufacturing, unlocking the next step for higher efficiency electrification, power conversion, and distribution; (b) additively manufactured magnetic materials by predicting and developing novel powdered materials properties, generative design concepts, and optimal processing conditions.

【 授权许可】

Unknown