Learning Nonlinear Finite Element Solution Operators Using Multilayer Perceptrons and Energy Minimization
Abstract. We develop and evaluate a method for learning solution operators to nonlinear problems governed by partial differential equations (PDEs). The approach is based on a finite element discretization and aims at representing the solution operator by a multilayer perceptron that takes problem data variables as inpu...