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Computational Materials Design Research Group

Computational Design of Materials Microstructures – Koyama and Tsukada Laboratory

Professor Toshiyuki Koyama / Associate Professor Yuhki Tsukada

  • Improving the calculation theory of the phase-field method
  • Simulation of microstructure developments in functional materials based on the phase-field method, and the calculation of the electromagnetic properties
  • Simulation of microstructure developments in structural materials based on the phase-field method, and the calculation of the mechanical properties
  • Numerical analysis of microstructure formations, transport phenomena, and cell properties in secondary batteries
  • Construction of next-generation material designs accelerated by data science technology

Computational Materials Science and Mechanics – Kimizuka and Ohto Laboratory

Professor Hajime Kimizuka / Associate Professor Tatsuhiko Ohto / Assistant Professor Hiroshi Yukawa

  • Measurement of atomic structure and prediction of mechanical characteristics in high-strength metal materials
  • Construction and prediction of characteristics of quantum-theory modeling methods for hydrogen-permeable and hydrogen-storing materials
  • Elucidation and control of mechanical characteristics of plastic-deformation mechanisms of nanolayered structural materials
  • Development and application of modeling methods for elucidation of atomic-scale long-term phenomena (rare events)
  • Development of ultra-high-purity hydrogen production devices, invention of new chemical application processes, and development of hydrogen sensors through the functional utilization of hydrogen-permeable metallic membranes

Physical Metallurgy – Adachi Laboratory

Professor Yoshitaka Adachi / Assistant Professor Chen Ta te

  • 3D4D Material Science – Visualization and quantification of structure
  • Comprehensive Studies of Material Information – Infrastructure construction for materials studies implementing artificial intelligence
  • Device and Software Development – Development of a fully automatic serial-sectioning 3D microscope and a machine-learning-based comprehensive system for materials information
  • Analysis of Deformation Behavior – Analysis of deformation behavior in polycrystalline materials through digital image correlation (DIC), the double-indenter method, neutron beams, and modeling
  • Analysis of Phase-transformation Behavior – Analysis of nucleation and nuclear-growth behavior
  • Steel – Development of state-of-the-art steel materials
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