The source code and data for the article M. Daneker, S. Cai, Y. Qian, E. Myzelev, A. Khumbhat & L. Lu. Transfer Learning on Physics-Informed Neural Networks for Tracking the Hemodynamics in the Evolving False Lumen of Dissected Aorta. Nexus, 1(2), 2024.

The Navier-Stokes flow nets base code is required for all other .py files to run, make sure it is included in the same directory.

• Data only
• Warm-start PINN
• Transfer learning warm-start PINN

Due to the size of the data it was uploaded to OneDrive.

If you use this code for academic research, you are encouraged to cite the following paper:

@article{Daneker2024,
  title     = {Transfer Learning on Physics-Informed Neural Networks for Tracking the Hemodynamics in the Evolving False Lumen of Dissected Aorta},
  author    = {Daneker, Mitchell and Cai, Shengze and Qian, Ying and Myzelev, Eric and Khumbat, Arsh and Li, He and Lu, Lu},
  volume    = {1},
  issue     = {2},
  year      = {2024},
}

To get help on how to use the data or code, simply open an issue in the GitHub "Issues" section.