ML-accelerated CFD
Machine learning accelerated computational fluid dynamics
Paper title Machine learning accelerated computational fluid dynamics
Paper arXiv 2102.01010PDF
Keeps a finite-volume Navier–Stokes solver and replaces only the part most hurt by a coarse grid: a convolutional network, trained end to end through the differentiable solver written in JAX, learns how to interpolate the convective fluxes on the coarse mesh.
- Published
- PNAS
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