RISE-AI COLLABORATION HQ WORKING GROUP · UW–MADISON
AI for Fusion
A multidisciplinary RISE-AI Collaboration HQ working group on AI for accelerating fusion research and development, bringing together computer scientists, physicists, engineers, mathematicians, and collaborators across UW–Madison.
OUR FOCUS AREA
Accelerating fusion development .
Machine learning methods are advancing rapidly, and their potential to accelerate fusion research and development is beginning to take shape. Fusion research relies on a close interplay between theory, simulation, and experiment, providing a rich setting for exploring how AI can contribute to scientific progress. Our collaboration develops and evaluates methods for fusion science and engineering, with an emphasis on advanced optimization, neural network surrogates, generative models, and large language model agents.
OUR GROUP
AI + Fusion
Our group connects plasma physics and AI researchers around open problems in fusion science and engineering—bringing together domain expertise and emerging AI methods to develop practical solutions.
- Plasma physics
- Nuclear engineering
- Scientific computing
- Machine learning
- Applied mathematics
- Materials science
Fall 2026
Kickoff event
Oct. 27, 15:30-17:00 @ MH 7560
Join talks, working sessions, and discussions on AI for fusion. Speakers:
- Qin Li, Dept. of Mathematics
- Kai Shih, Realta Fusion
- Patrick Shriwise, Argonne National Lab
- David Smith, Dept. of Nuclear Engineering & Engineering Physics
Help set the scientific direction.
We’re looking for UW–Madison organizers who want to contribute to event planning and the collaboration’s scientific direction. Join the group and introduce yourself—we’d love to hear what you want to build.
Our team
Current organizing committee
