-
Hi, I publish a paper about the PINN application for Li ion battery temp prediction.
Would you put my paper on your list?
G. Cho, M. Wang, Y. Kim, J. Kwon and W. Su, "A Physics-Informed Machine Le…
-
Hello,
You write that this repository is the AD for the paper: Physics-informed Quantum Deep Neural Network for Solving PDEs. I cannot find the paper. Are you still writing it? Do you have a prepri…
-
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…
-
## 🐛 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…
-
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…
-
Subscribe to this issue and stay notified about new [weekly trending repos in Julia](https://github.com/trending/julia?since=weekly).
-
Hi @awaelchli
So sorry for the last minute question! I have been closely following physics-informed / equivariant neural networks over the last few months, and I was very excited to see our overlap…
-
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…
-
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…
-
### 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…