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Learning to Simulate Complex Physics with Graph Networks

Paper title Learning to Simulate Complex Physics with Graph Networks

Sanchez-Gonzalez et al. (DeepMind) · General PDEs · Public: code, data

Paper arXiv 2002.09405PDF

Represents water, sand, goop and rigid bodies as particles. An encoder links nearby particles into a graph, a processor runs several rounds of learned message passing, and a decoder returns each particle's acceleration, which a fixed integrator turns into the next state.

Published
ICML

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