Enhancing Physics-Informed Neural Networks for Solving Partial Differential Equations Using Symmetry Group-Based Domain Decomposition

A symmetry group-based domain decomposition strategy is proposed to enhance physics-informed neural networks for solving forward and inverse problems of partial differential equations possessing a Lie symmetry group.