[Atsuto Seko] Development of methods for predicting physical properties using machine-learning techniques

Research Director

Atsuto Seko

Atsuto Seko

Department of Materials Science and Engineering, Kyoto University
Associate Professor

Outline

Descriptors play a crucial role in the construction of machine-learning prediction models of physical properties aimed at accelerating materials design. In this study, simple descriptors for crystal structure that are applicable to a wide range of physical properties will be developed. I will dedicate myself to proposing first-principles machine-learning interatomic potentials of a wide range of materials and constructing prediction models of first-principles physical properties.

Quick Access

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-X
  • ACCEL
  • ALCA
  • RISTEX
  • AIP Network Lab
  • Global Activities
  • Diversity
  • SDGs
  • OSpolicy
  • Yuugu
  • Questions