Phi-FEM-FNO: a new approach to train a Neural Operator as a fast PDE solver for variable geometries

Michel Duprez, Vanessa Lleras, Alexei Lozinski +2

In this paper, we propose a way to solve partial differential equations (PDEs) by combining machine learning techniques and the finite element method called Phi-FEM. For that, we u…