Communications Materials (Mar 2021)

Machine learning autonomous identification of magnetic alloys beyond the Slater-Pauling limit

  • Yuma Iwasaki,
  • Ryohto Sawada,
  • Eiji Saitoh,
  • Masahiko Ishida

DOI
https://doi.org/10.1038/s43246-021-00135-0
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 7

Abstract

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Finding materials with large magnetization is highly desirable for technological applications. Here, a machine learning autonomous search and automated combinatorial synthesis reveal that multi-element alloys with Ir and Pt impurities have a magnetization exceeding the Slater-Pauling limit of Fe75Co25.