Sim2Science workshop @ NeurIPS 2026 in Paris
Simulators (like AlphaFold, VASP, JOREK, ...) are the backbone of modern science and relevant for new breakthroughs. But every simulator simplifies reality, makes approximations and depends on uncertain parameters.
We're asking: How can AI help us get more out of simulators?
Sim2Science is deliberately cross-disciplinary. We bring together researchers across all disciplines including neuroscience, climate, materials science, astrophysics, fluid dynamics, chemistry, biology, and more.
Submitting: 5-page papers or 2-page tiny papers. Contributions can be new methods, applications, benchmarks, or position pieces, as long as they engage both ML and scientific simulators.
Deadline: Aug 29, AoE
Website:
sim2science.comWould love for you to submit or just spread the word!