Artificial intelligence-engineering magnetic materials
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Magnetochemistry
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Resumo
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.
Como referenciar
PERIGO, ELIO A.; FARIA, RUBENS N. de. Artificial intelligence-engineering magnetic materials: current status and a brief perspective. Magnetochemistry, v. 7, n. 6, p. 1-11, 2021. DOI: 10.3390/magnetochemistry7060084. Disponível em: http://repositorio.ipen.br/handle/123456789/32308. Acesso em: 30 Dec 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.