Norihiro Oyama

Group Associate

Education

• Ph.D., Chemical Engineering, Kyoto University, Japan (2017)
• M.S., Chemical Engineering, Kyoto University, Japan (2014)
• B.S., Chemical Engineering, Kyoto University, Japan (2011)

Areas of Interest

• Quantum spin defects
• Non-equilibrium statistical physics (amorphous solids and supercooled liquids, in particular)
• Machine learning for natural science

Experience

• 2026-present: Visiting Researcher, Galli Group, University of Chicago
• 2026-present: Senior Principal Engineer, Toyota Motor North America
• 2021-2025: Leading Researcher, Applied Mathematics Research Domain, Toyota Central R&D Labs., Inc.
• 2020-2021: JPSP Postdoctoral Fellow, Ikeda lab, The University of Tokyo
• 2017-2020: Postdoctoral Fellow, MathAM-OIL, The National Institute of Advanced Industrial Science and Technology

Selected Publications

• Oyama, N.; Kawasaki, T.; Kim, K; Mizuno, H.
  Scale Separation of Shear-Induced Criticality in Glasses.
  Phys. Rev. Lett. 132, 148201 (2024)
• Oyama, N.; Ishizaki, N. N.; Koide, S; Yoshida, H.
  Deep generative model super-resolves spatially correlated multiregional climate data.
  Sci Rep 13, 5992 (2023)
• Oyama, N.; Koyama, S.; Kawasaki, T.
  What do deep neural networks find in disordered structures of glasses?
  Front. Phys. 10:1007861 (2023)
• Oyama, N.; Mizuno, H.; Ikeda, A.
  Instantaneous Normal Modes Reveal Structural Signatures for the Herschel-Bulkley Rheology in Sheared Glasses.
  Phys. Rev. Lett. 127, 108003 (2021)