D. Fu

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries

MoNo (Multiscale Optimal Transport Neural Operator), a progressive multiscale neural operator that efficiently solves PDEs on general geometries through stable latent-space construction and outperforms existing state-of-the-art neural operators in both prediction performance and computational efficiency is proposed.