About the Physics-based machine learning demos

[Gxinhu]

Hello there!

Firstly, I would like to express my gratitude for developing such an invaluable tool.

Currently I'm trying to code the LBM with machine learning by XLB, but I do not know how. And I read form the paper about the Physics-based machine learning demos: Enhancing coarse-grained simulations using deep learning correctors and Differentiable flow control with deep learning, but I do not find any code about them in the repo.

Could you possibly provide some guidance on how to implement these concepts? Alternatively, another simple demo illustrating the integration of machine learning with LBM would be immensely helpful.

[mehdiataei]

Hi Gxinhu,

Currently, we are undergoing a significant refactoring process, which can be tracked through our branches. We expect to complete this refactoring by the end of April, and it will include all the machine learning examples you mentioned, as well as many more.

Please stay tuned.