Artificial Intelligence for Materials Discovery: Finding novel materials needs more than pure machine learning.

The article discusses various aspects of the use of artificial intelligence (AI) and machine learning in an effort to discover materials such as high-entropy alloys that can be used in electronics and transportation. The use of density-functional theory calculations in the search for alloys with low...

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Detalles Bibliográficos
Publicado en:	Communications of the ACM Vol. 66; no. 4; pp. 9 - 12
Autor principal:	Monroe, Don
Formato:	Artículo
Publicado:	Association for Computing Machinery Apr2023
Materias:	Artificial intelligence Materials Alloys Electronics Transportation Machine learning Density functional theory Artificial intelligence research
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	The article discusses various aspects of the use of artificial intelligence (AI) and machine learning in an effort to discover materials such as high-entropy alloys that can be used in electronics and transportation. The use of density-functional theory calculations in the search for alloys with low thermal expansion is assessed, along with AI research, materials characterization, and the training of a system to improve multiple properties.