-
Dear Prof. Lu,
I am a beginner of DeepONet. Is there any chance to see a demo of PI-DeepONet written using deepxde?
Thank you very much.
-
https://arxiv.org/abs/2111.03794
-
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 …
-
1. Nodes cannot directly fit multiplication and division operations; nodes can only use addition and subtraction.
2. When using the model, it is not possible to restrict the activation functions used…
hzy24 updated
3 months ago
-
可以发一下吗?我看官网上没有完整版本的,需要花钱
-
* [x] HGNN model without physics-informed loss
* [ ] HPIGNN model with physics-informed loss from Julia optimizer
* #34
-
The identification methods in this package allow adding a regularisation term to the loss for better convergence. It would be nice if we could regularise not only the parameters and obtained system bu…
-
We need a data sampler for PDE problem
Reference: https://github.com/lululxvi/deepxde/blob/a856b4e2ef5e97e46629ba09f7120b49a40b135f/deepxde/data/pde_operator.py
-
### Problem
Different mods might have to rely on what's the server default physics setting (e.g. to restore it), but there's no way to know what default is
### Solutions
Provide a `minetest.D…
Zughy updated
1 month ago
-
Sorry to bother you, thank you for sharing your code.
I noticed that the output is a 2x2 grid. Could you please clarify the input grid size used in the model?
Best wishes to you!