PrototypeCommon
alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
- Owner
- alexpapados (personal account)
- Stars
- Stars: 232
- Forks
- Forks: 50
- Language
- Python
- License
- None
- Created
- 2021
- Topics
- pinnscomputational-fluid-dynamicscomputational-physicsphysics-informed-neural-networksphysics-based-simulationlinear-elasticityhydrodynamicsshock-tube
- Tier
- Prototype (100 to 249 ★) What this tier means
Nearby in Python
All Python repos- LYiHub/pub-street-fighter-aiStars: 232PythonPrototype
- Hongyang-Du/PaperLeetStars: 232PythonPrototype
- Panchovix/nvidia-windows-vbios-vix-loaderStars: 232PythonPrototype
- mnot/nbhttpStars: 232PythonPrototype
- lucjon/Py-StackExchangeStars: 232PythonPrototype
- nanpy/nanpyStars: 232PythonPrototype