Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks

Wenqian Chen, Amanda A. Howard, Panos Stinis

Physics-informed deep learning has emerged as a promising alternative for solving partial differential equations. However, for complex problems, training these networks can still b…