2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
NeurIPS 2020poster
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 learning methods can improve the solution accuracy by correcting for effects not captured by the discretized PDE. We target the…