198 citations · 374 across the 5 of their papers we have counts for
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physics.comp-ph2020★ 130 cited
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um, Robert Brand, Yun +3
Finding accurate solutions to partial differential equations (PDEs) is a crucial task in all scientific and engineering disciplines. It has recently been shown that machine learnin…
cs.LG2020★ 43 cited
Learning to Control PDEs with Differentiable Physics
Philipp Holl, Vladlen Koltun, Nils Thuerey
Predicting outcomes and planning interactions with the physical world are long-standing goals for machine learning. A variety of such tasks involves continuous physical systems, wh…