MIT's WorldParticle unifies simulation of sand, fluids and proteins in one model
MIT News AI · rss · 2026-11-09
Researchers at MIT, UBC and others present WorldParticle, a deep-learning system aiming for a 'GPT moment for simulation': it represents materials as millions of Lagrangian particles, learns to solve governing equations generally, separates and reintegrates external forces each step, and compresses particles for scalability. It matched or beat numerical solvers across six phenomena, simulating protein folding 100x faster, and could extend to soft robots, RNA evolution and astrophysics (SIGGRAPH Asia, open-access paper).
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