Learning to Simulate Complex Physics with Graph Networks
DeepMind explores simulating complex physics using graph networks, demonstrating their potential in accurately modeling intricate physical systems and phenomena. This advancement paves the way for more efficient and precise simulations in various scientific and engineering fields.
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia
https://arxiv.org/pdf/2002.09405
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