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• Systematic global structure search of bismuth-based binary systems under pressure using machine learning potentials
  2025
• Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds
  2017
• Exploring a potential energy surface by machine learning for characterizing atomic transport
  2017
• Compositional descriptor-based recommender system accelerating the materials discovery
  2017
• Group-theoretical high-order rotational invariants for structural representations: Application to linearized machine learning interatomic potential
  2019
• Application of machine learning potentials to predict grain boundary properties in fcc elemental metals
  2020
• Machine learning potentials for multicomponent systems: The Ti-Al binary system
  2020