Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving

1 code implementation • 12 Jul 2023 • Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu

To alleviate these issues, we proposed auxiliary-task learning-based physics-informed neural networks (ATL-PINNs), which provide four different auxiliary-task learning modes and investigate their performance compared with original PINNs.