85 citations · 118 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 85 cited
A practical PINN framework for multi-scale problems with multi-magnitude loss terms
Yong Wang, Yanzhong Yao, Jiawei Guo +1
For multi-scale problems, the conventional physics-informed neural networks (PINNs) face some challenges in obtaining available predictions. In this paper, based on PINNs, we propo…
math.NA2023★ 33 cited
A deep learning method for multi-material diffusion problems based on physics-informed neural networks
Yanzhong Yao, Jiawei Guo, Tongxiang Gu
Given the facts of the extensiveness of multi-material diffusion problems and the inability of the standard PINN(Physics-Informed Neural Networks) method for such problems, in this…