AmeyaJagtap / XPINNsLinks
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations
☆197Updated 2 years ago
Alternatives and similar repositories for XPINNs
Users that are interested in XPINNs are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- ☆212Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆229Updated 4 years ago
- ☆349Updated 2 years ago
- A place to share problems solved with SciANN☆281Updated last year
- ☆143Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆175Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆178Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆142Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆339Updated last year
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- ☆166Updated last year
- DeepONet & FNO (with practical extensions)☆306Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆103Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- ☆109Updated 4 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆262Updated 3 weeks ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆425Updated last month
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆144Updated 5 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- ☆128Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆134Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago