RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks

1 code implementation • 2 May 2022 • Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu

Learning solutions of partial differential equations (PDEs) with Physics-Informed Neural Networks (PINNs) is an attractive alternative approach to traditional solvers due to its flexibility and ease of incorporating observed data.

Computational Efficiency