On the data-driven identification of closure models for PDEs, application on the burgers equation
Interesting papers :
Frezat, H., Balarac, G., Le Sommer, J., Fablet, R., & Lguensat, R. (2021). Physical invariance in neural networks for subgrid-scale scalar flux modeling. Physical Review Fluids, 6(2), 024607.
Starter code : pyBurger (thanks a lot :) )
https://github.com/jeremygibbs/pyBurgers
Dependencies
- numpy 1.19.2
- pytorch 1.10.0
- tqdm 4.51.0
- scipy 1.5.3
- matplotlib 3.2.1
- torchdiffeq 0.1.1