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> Here I solved a steady-state problem with 4 discontinuous corners with my own code (not DeepXDE). DeepXDE gains loss around the edges for some reason. > >  >...

> Thank you very much for your help and I look forward to your paper and available codes.

> Sorry, I can't share the code (we are writing a paper). You can learn more about importance sampling [here](https://arxiv.org/abs/2104.12325). > > Their code is public but not open source,...

Thank you for your answer

Thank you for your answer. I have one more question, is Deepxde able to implement "Parallel physics-informed neural networks via domain decomposition (References:https://www.sciencedirect.com/science/article/pii/S0021999121005787 )", if so, can you tell me...

> * Domain decomposition is doable by modifying the code. - Thank you for your answer. For domain decomposition, my idea is the same as PFNN to build pairs of...

> How to merge the results of NN_U and NN_L together? > > Thanks for the great question @979736316, if it worked for you, please share the code. > >...

Yes, it is possible, you can use PFNN, as mentioned in the example "elliptic_inverse_field.py".

> Not sure what you did. But you may try to fix it by looking at the error message "Invalid argument: 'E*.dat'". Thank you for your reply. I, as a...