MIT, University of British Columbia and collaborators (incl. Meta) · Unified Physics Simulator

WorldParticle

WorldParticle is a deep-learning system that simulates many kinds of matter, from sand and fluids to protein folding, within one architecture. It represents materials as particles and uses a neural network to predict their positions and properties one step at a time, learning the dynamics rather than relying on hand-coded equations. The authors say it generalises to materials, forces and environments unseen in training, and the work is described in an open-access paper to be presented at SIGGRAPH Asia.