Recommending several papers
Opened this issue · 1 comments
smao-astro commented
Great job! I wish that I had seen this earlier.
I would like to recommend
- When and why PINNs fail to train: A neural tangent kernel perspective
- On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
- Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
- Long-time integration of parametric evolution equations with physics-informed DeepONets
vaishnavtv commented
Can I also recommend this paper on an Active Learning strategy for generating collocation points in PINNs?
Optimal Transport Based Refinement of Physics-Informed Neural Networks