Physics_based_ML

Physics-based loss and machine-learning approach in application to incompressible viscous fluids flow modeling

Name		Name	Last commit message	Last commit date
Latest commit History 120 Commits
Exact_test		Exact_test
ToyDataset		ToyDataset
garb		garb
tensors_masks		tensors_masks
.gitattributes		.gitattributes
.gitignore		.gitignore
Baseline_2D.ipynb		Baseline_2D.ipynb
Baseline_2D_ivan.ipynb		Baseline_2D_ivan.ipynb
Baseline_3D.ipynb		Baseline_3D.ipynb
Baseline_3D_pipe.ipynb		Baseline_3D_pipe.ipynb
Baseline_3D_pipe_MLP_autograd.ipynb		Baseline_3D_pipe_MLP_autograd.ipynb
Baseline_3D_pipe_bad_result.ipynb		Baseline_3D_pipe_bad_result.ipynb
Baseline_J_K_Ivan_.ipynb		Baseline_J_K_Ivan_.ipynb
E.Kornaeva et al - Physics-based loss 3D - CEC-2023.zip		E.Kornaeva et al - Physics-based loss 3D - CEC-2023.zip
E.Kornaeva et al - Physics-based loss and 2D modeling- CEC-2023.zip		E.Kornaeva et al - Physics-based loss and 2D modeling- CEC-2023.zip
E_Kornaeva_et_al___Physics_based_loss_3D___CEC_2023.pdf		E_Kornaeva_et_al___Physics_based_loss_3D___CEC_2023.pdf
Main.ipynb		Main.ipynb
MainFCN.ipynb		MainFCN.ipynb
Main_transitional.ipynb		Main_transitional.ipynb
Pipe.ipynb		Pipe.ipynb
Pipe_analytical_solution.ipynb		Pipe_analytical_solution.ipynb
README.md		README.md
desktop.ini		desktop.ini
sv_tensors.py		sv_tensors.py
unet_best.pth		unet_best.pth

litvinenkonikita/Physics_based_ML