Nano-Micro Letters (Feb 2025)

Artificial Intelligence-Powered Materials Science

  • Xiaopeng Bai,
  • Xingcai Zhang

DOI
https://doi.org/10.1007/s40820-024-01634-8
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 30

Abstract

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Highlights A detailed exploration is provided of how artificial intelligence (AI) and machine learning techniques are applied across various aspects of materials science. Major challenges in AI-driven materials science are evaluated. Novel case studies are incorporated, demonstrating their impact on accelerating material development and discovery.

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