Scholar
Ryotaro Okabe
Google Scholar ID: M0gMbZMAAAAJ
Massachusetts Institute of Technology
Citations & Impact
Citations
253
H-index
8
i10-index
7
Publications
20
Co-authors
48
list available
Publications
Resume (English only)
Academic Achievements
- Developing generative models for quantum materials; predicting material properties like phonon dispersions directly from crystal structures using graph neural networks; exploring electronic transport in topological materials; designing AI-assisted workflows for radiation detection.
Research Experience
- Held research internships at IBM Research, Yale University, and Rice University.
Education
- Pursuing a Ph.D. at MIT, advised by Prof. Mingda Li; previously received M.S. and B.S. degrees from the Institute of Science Tokyo (formerly Tokyo Institute of Technology).
Background
- Ph.D. candidate in Chemistry at the Massachusetts Institute of Technology (MIT), focusing on structure–property relationships and inverse design of quantum materials, integrating computational physics, machine learning, and materials informatics to uncover novel quantum phenomena and accelerate materials discovery.
Miscellany
- Can be contacted at rokabe [at] mit.edu or connected via Google Scholar, GitHub, or LinkedIn.
