ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations

1 code implementation • 15 Jun 2023 • Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhoui, Jie Liu

To address the issue of low accuracy and convergence problems of existing PINNs, we propose a self-training physics-informed neural network, ST-PINN.

Pseudo Label Self-Learning