-
[Physics Informed Neural Networks by NVIDIA](https://docs.nvidia.com/deeplearning/modulus/user_guide/theory/recommended_practices.html#physics-informed-neural-networks) ... more generally, [Physics-In…
-
Great job! I wish that I had seen this earlier.
I would like to recommend
1. [When and why PINNs fail to train: A neural tangent kernel perspective](https://arxiv.org/abs/2007.14527)
2. [On the e…
-
https://github.com/PredictiveIntelligenceLab/USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
-
Description:
The goal of this issue is to create a foundation for developing a cybernetic organism or open game using physics-informed syntax. To begin, we need to implement a basic active inference …
-
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…
-
### 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…
-
-
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 [daily trending repos in Julia](https://github.com/trending/julia?since=daily).
-
* [Link](https://arxiv.org/pdf/1904.07200.pdf)
* Title: A Discussion on Solving Partial Differential Equations using Neural Networks
* Keywords (optional):
* Authors (optional):
* Reason (o…