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Hi, Lukasz. I'm reading your paper "Mean flow reconstruction of unsteady flows using physics-informed neural networks", and i'm very impressed by some of your ideas.
I noticed that you compared the f…
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i could be breaking stuff by asking for this
bu would compatibility with modeling toolkit be a good thing for the package?.
or is this beyond the vision of the package itself
joreb updated
3 years ago
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Hi again :)
I'd like to bring up a topic that's been keeping me busy lately in the field of Physics-Informed Neural Networks (PINNS). During research I've come across a number of papers that discus…
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Implement the Multiscale Fourier Features (MFF) neural network architecture proposed in this paper "On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs wit…
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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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Dear Lu Lu,
Thank you for such a great package. I really consider deepXDE as a future working tool for my research interests.
Here is my specific problem:
![image](https://user-images.githubuserc…
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Implementing the Inverse Dirichlet adaptive loss method proposed in this paper "Inverse Dirichlet weighting enables reliable training of physics informed neural networks" [paper](https://iopscience.io…
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### Version
1.5.0
### On which installation method(s) does this occur?
_No response_
### Describe the issue
The following code used to work on Google Colab for months, then it just stopped workin…
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Hi,
I might have interesting articles for you to add. It's a list of 34 articles using deep learning methods applied to MIR. The list is in form of a bib file where the field `code` points to the we…
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The manuscript titled 'Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding' explores the application of Physics-Informed Neural Networks (PINN) in solving partial differentia…