Geo-FNO
Fourier neural operators on general geometries
Paper title Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Paper arXiv 2207.05209PDF
Learns a deformation that maps an irregular physical domain, given as a point cloud or mesh, onto a uniform latent grid, runs the FFT-based Fourier neural operator there and maps the result back. Point clouds, structured meshes and design parameters can all be inputs.
- Published
- JMLR
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