Ryotaro Okabe / 岡部 遼太郎

I am a Ph.D. candidate in Chemistry at the Massachusetts Institute of Technology (MIT), advised by Prof. Mingda Li. My research focuses on the structure–property relationships and inverse design of quantum materials, integrating computational physics, machine learning, and materials informatics. I aim to uncover novel quantum phenomena and accelerate materials discovery through physics-inspired AI approaches.

My recent work includes:

• Developing generative models for quantum materials,
• Predicting materials prooperties like phonon dispersions directly from crystal structures using graph neural networks,
• Exploring electronic transport in topological materials, and
• Designing AI-assisted workflows for radiation detection.

I previously received my M.S. and B.S. degrees from Institute of Science Tokyo (formerly Tokyo Institute of Technology), and held research internships at IBM Research, Yale University, and Rice University.

More details can be found on the following pages:

• Publications
• Presentations
• CV

You can contact me at rokabe [at] mit.edu or connect via Google Scholar, GitHub, or LinkedIn.