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Couple of strategy/scenarios
1) train-to-train model
- train a sub-class of PDEs with NeuralOperator
- transfer learning pre-trained prediction from NeuralOperator problem to PINNs
- PINNs train…
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This new paper might be relevant:
[SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss](https://arxiv.org/abs/2109.15044) by Konstanti…
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Good work. Do you know how one can set periodic BCs for this problem? How does one enforce the L2 loss for at the boundaries by copying target values from the opposite boundary on the fly?
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A great repository!Thank you very much for your open source, i also really like your videos about this on your Youtube! It is so awesome!
I have a question about deeponet.
$$
\frac{d y}{d x}+y(…
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Hi Paul,
I have a question regarding the role of residual connection. In PhyCRNet, the temporal derivative is already incorporated in the loss term, why do you still need the residual connection?
…
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**1. Requester Information:**
This should include the name and contact information of the person making the request.
Jonathan Frame
**2. Project Information:**
Provide a brief description of …
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[Reviewer_comments_for_Vortex_Shedding_PINNs.pdf](https://github.com/barbagroup/jcs_paper_pinn/files/13846042/Reviewer_comments_for_Vortex_Shedding_PINNs.pdf)
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This question has been asked before by someone else, but it stayed unanswered. I am wondering about the answer myself, as I was reusing the KvD.py code with a different equation and not getting the pa…
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I'm a physicist and I'm working with PINNs and other similar algorithms for the last three years to numerically solve differential equations.
Some of these differential equations of my interest hav…
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