GIOVANNI D'AGNESE

DIF-FNO: Diffeomorphic Implicit Fourier Neural Operators for Solving PDEs on Irregular Domains

Fourier Neural Operators (FNO) have emerged as a powerful paradigm for learning mappings between infinite-dimensional function spaces, significantly accelerating Partial Differential Equation (PDE) solutions. However, conventional FNOs rely on Fast Fourier Transforms (FFT) over r...

DIF-FNO: Diffeomorphic Implicit Fourier Neural Operators for Solving PDEs on Irregular Domains

Fourier Neural Operators (FNO) have emerged as a powerful paradigm for learning mappings between infinite-dimensional function spaces, significantly accelerating Partial Differential Equation (PDE) solutions. However, conventional FNOs rely on Fast Fourier Transforms (FFT) over r...