Fourier neural operator for PDEs https://arxiv.org/abs/2010.08895
Solves family of #PDE from scratch at any resolution. Outperforms all existing #DeepLearning methods. 1000x faster than traditional solvers Experiments on Navier-Stokes equations @kazizzad @Caltech #AI #HPC https://twitter.com/arXiv_Daily/status/1318645827460603904 …pic.twitter.com/oOS0EiLdwd
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certainly i see what you mean & appreciate the clarification :) data is cheap now, as you say ... when i was a grad student
@caltech (2000-05), generating 1000 Navier-Stokes solutions in 3d (for diff values of viscosity etc) would have taken a little longer than in 2020 ;-) -
lol, certainty they got much faster. Kaushik sometimes tells similar stories, from way before 2000.
End of conversation
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