https://github.com/marcotallone/pinn-pareto-front
Presentation of the paper "Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks" by F. M. Rohrhofer, S. Posch, C. Gößnitzer and B. C. Geiger for the Simulation Intelligence course held at University of Trieste (UniTS).
https://github.com/marcotallone/pinn-pareto-front
heat-diffusion-modelling multi-objective-optimization navier-stokes-equations pareto-front physics-informed-neural-networks pinn pinns scientific-computing
Last synced: 4 months ago
JSON representation
Presentation of the paper "Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks" by F. M. Rohrhofer, S. Posch, C. Gößnitzer and B. C. Geiger for the Simulation Intelligence course held at University of Trieste (UniTS).
- Host: GitHub
- URL: https://github.com/marcotallone/pinn-pareto-front
- Owner: marcotallone
- License: mit
- Created: 2025-05-29T14:10:37.000Z (5 months ago)
- Default Branch: master
- Last Pushed: 2025-06-25T19:58:32.000Z (4 months ago)
- Last Synced: 2025-06-25T20:35:48.211Z (4 months ago)
- Topics: heat-diffusion-modelling, multi-objective-optimization, navier-stokes-equations, pareto-front, physics-informed-neural-networks, pinn, pinns, scientific-computing
- Homepage: https://marcotallone.github.io/PINN-pareto-front/
- Size: 38.3 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE