ADEx-FNO: A Unified Ambient-Domain Framework for Fourier Neural Operators on Varying Geometries
ScientificML
Proposes ADEx-FNO, a framework that extends Fourier neural operators to varying geometries and independent discretizations via ambient-domain embedding and signed distance functions, without modifying core Fourier-operator layers.
See LICENSE file Fourier neural operatorVarying geometry PDE solvingScientific machine learning