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

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