Fourier Neural Operators: Solving PDEs 1000x Faster
burny_tech · x · 2026-09-02
The author discusses combining Fourier transforms with neural networks, highlighting the Fourier Neural Operator (FNO). The FNO parameterizes the integral kernel directly in Fourier space. Experiments on Burgers', Darcy flow, and Navier-Stokes equations show it is the first ML method to model turbulent flows with zero-shot super-resolution, offering up to 1000x speedup over traditional solvers.
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