Self-adaptive weighting and sampling for physics-informed neural networks

Wenqian Chen, Amanda Howard, Panos Stinis

Physics-informed deep learning has emerged as a promising framework for solving partial differential equations (PDEs). Nevertheless, training these models on complex problems remai…