AI4Physics: An ICML 2026 Workshop on AI for Physics

AI is rapidly reshaping physics research, but progress is often fragmented across subfields and stages of the scientific workflow. This workshop, AI4Physics at ICML 2026, will bring together machine learning researchers and physicists to develop and evaluate trustworthy AI methods that support physics discovery end to end—from physics-centric reasoning with LLMs and tool-using agents, to high-fidelity generative and surrogate simulators, to inverse problems and uncertainty-aware inference under systematics, and finally to data scarcity, dataset-building, and closed-loop experimental design and control. Spanning high-energy physics, astrophysics and cosmology, condensed matter, plasma and fusion, and quantum science, the workshop will highlight shared structure and bottlenecks across domains, consolidate best practices for physical consistency and robust evaluation, and catalyze cross-disciplinary collaboration through invited talks, posters, and contributed presentations.