Ryotaro Okabe / 岡部 遼太郎

Argonne Scholar (Maria Goeppert Mayer Fellow), X-ray Science Division, Argonne National Laboratory

Physics-informed AI for quantum materials: from discovery toward autonomous X-ray experiments

I am an Argonne Scholar and Maria Goeppert Mayer Fellow in the X-ray Science Division at Argonne National Laboratory, working with Dr. Haidan Wen and Dr. Mathew Cherukara. My current research develops physics-informed AI and agent-based methods that learn the dynamics of quantum materials from time-resolved X-ray data at the Advanced Photon Source and help decide what to measure next, toward autonomous experiments.

I received my Ph.D. in Chemistry from MIT in 2026, advised by Prof. Mingda Li in the Quantum Measurement Group, where I developed generative models, graph neural networks, and LLM-guided methods for quantum materials discovery and design. Before MIT, I received my M.S. and B.S. from the Institute of Science Tokyo and conducted research internships at IBM Research, Yale, and Rice.

Portrait of Ryotaro Okabe

Research Themes

AI Agents for Autonomous X-ray Experiments

Physics-informed, agent-based methods that learn non-equilibrium dynamics from time-resolved X-ray data and propose the next measurement, toward closed-loop experiments at the Advanced Photon Source.

Generative Models for Quantum Materials

Integrating structural constraints into generative AI (SCIGEN) for the inverse design of quantum material candidates.

Graph Neural Networks for Materials Properties

Predicting phonon dispersions, optical spectra, and magnetism directly from crystal structures.

LLM Agents for Synthesis and Lab Automation

Language-model-guided synthesis prediction and agentic AI that runs quantum sensing experiments, extending earlier work on neural-network-driven radiation detectors.

Selected Publications

All publications →

Recent Highlights