Information technology articles within Communications Materials

Featured

• Article
  19 March 2021 | Open Access

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

  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.

  • Yuma Iwasaki
  • , Ryohto Sawada
  •  & Masahiko Ishida

• Article
  30 July 2020 | Open Access

  Integrating multiple materials science projects in a single neural network

  Traditionally, machine learning for materials science is based on database-specific models and is limited in the number of predictable parameters. Here, a versatile graph-based neural network can integrate multiple data sources, allowing the prediction of more than 40 parameters simultaneously.

  • Kan Hatakeyama-Sato
  •  & Kenichi Oyaizu