Parsimonious Universal Function Approximator for Elastic and Elastoplastic Cavity Expansion Problems

Abstract

AbstractPhysics-informed neural networks (PINNs) have prevailed as an effective universal function approximator to solve a wide range of governing partial differential equations (PDEs) and ordinary differential equations (ODEs), including the ones in ...