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### 需求描述 Feature Description
在复现论文Physics-informed neural operator for learning part的过程中, Fourier Neural Operator 网络在原pytorch代码环境中涉及到fft的网络训练参数的数据类型为torch.cfloat，paddle.create_parameter不支持cfloat，即com…
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Hello,
Thank you very much for sharing your code. I have read the two parts of Physics Informed Deep Learning work and I have tried to run the Navier-Stokes identification code but more than 12 hou…
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Hello @lululxvi @MinZhu123 @ChenxiWu123
Thank you for your excellent sharing. Recently I read your article entitled Effective data sampling strategies and boundary condition constraints of physics-i…
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Quickly identify which outfits have which kinds of extra data/features, eg. Physics data. to make a more informed choice between alternate outfits.
It would be useful to have tags/icons to repres…
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Hello, thank you for you work. I have a misunderstanding with the obtaining velocity (for Navier Stokes equation) from given vorticity part. We actually need it for loss and you just wrote in the pape…
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## Current Behavior
TPA attenuates PIDs based on throttle. This makes sense for quadcopters, but its not ideal for fixed wing. This was outlined originally in #1269.
Despite being closed, I don'…
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Hi everyone,
I have been working though the tutorial "Optimising Parameters (Solving Inverse Problems) with Physics-Informed Neural Networks (PINNs)".
I am getting an error on the sixth box wh…
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## 🐛 Bug
## Minor Issues with rendering of Tutorials
1. https://deepchem.io/tutorials/physics-informed-neural-networks/ - Formula Not Rendering properly
2. https://deepchem.io/tutorials/int…
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Dear Ehsan Haghighat,
Thanks for your contribution towards understanding SciANN. I am new to Neural Networks(Computer Science itself!). I have tried implementing the same code given in the example …
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Hi, thank you for your nice work and code!
I have a few questions about the code.
1. In your PI_DeepONet_pendulum.ipynb，the input of branch net is u_train, the input of trunk net is y_train, and t…