Search Results for author: Thomas D. Economon

Found 1 papers, 1 papers with code

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

2 code implementations ICML 2020 Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter

Solving large complex partial differential equations (PDEs), such as those that arise in computational fluid dynamics (CFD), is a computationally expensive process.

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