Zongyi Li | Fourier Neural Operator

Zongyi's personal website.

This blog takes about 10 minutes to read. It introduces the Fourier neural operator that solves a family of PDEs from scratch. It the first work that can learn resolution-invariant solution operators on Navier-Stokes equation, achieving state-of-the-art accuracy among all existing deep learning methods and up to 1000x faster than traditional solvers. Also check out the paper , code , article , and project page . Operator learning Thinking in continuum gives us an advantage when dealing with PDE. We want to design mesh-indepedent, resolution-invariant operators. Problems in science and engineer

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