Yuqian Cheng

Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations

The physics-informed neural networks (PINNs) are widely applied in solving differential equations. However, few studies have discussed their consistency. In this paper, we consider the consistency of PINNs when applied to second-order elliptic equations with Dirichlet boundary conditions. We first p…