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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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Published in:Communications of the ACM Vol. 66; no. 4; pp. 9 - 12
Main Author: Monroe, Don
Format: Article
Published: Association for Computing Machinery Apr2023
Subjects:
Artificial intelligence
Materials
Alloys
Electronics
Transportation
Machine learning
Density functional theory
Artificial intelligence research
Online Access:View this record in EBSCOhost
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        Artificial intelligence
        Materials
        Alloys
        Electronics
        Transportation
        Machine learning
        Density functional theory
        Artificial intelligence research
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          Artificial intelligence
          Materials
          Alloys
          Electronics
          Transportation
          Machine learning
          Density functional theory
          Artificial intelligence research
      ab: 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.
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    language: English
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