benmoseley / FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
☆362Updated 3 months ago
Alternatives and similar repositories for FBPINNs:
Users that are interested in FBPINNs are comparing it to the libraries listed below
- ☆194Updated 3 years ago
- ☆322Updated 2 years ago
- Physics-Informed Neural networks for Advanced modeling☆446Updated this week
- Physics Informed Neural Network (PINN) for the wave equation.☆152Updated 4 years ago
- ☆411Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆180Updated 2 years ago
- A place to share problems solved with SciANN☆269Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆210Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆332Updated last year
- DeepONet & FNO (with practical extensions)☆269Updated last year
- ☆272Updated this week
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆288Updated 8 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆592Updated 9 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆256Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆512Updated 2 weeks ago
- Characterizing possible failure modes in physics-informed neural networks.☆128Updated 3 years ago
- ☆130Updated 2 years ago
- ☆156Updated last year
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆107Updated 7 months ago
- Physics-informed neural network for solving fluid dynamics problems☆216Updated 4 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆213Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆293Updated 7 months ago
- ☆89Updated 3 years ago
- ☆189Updated 7 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆169Updated 2 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆220Updated 4 months ago
- ☆167Updated last year
- Learning nonlinear operators via DeepONet☆600Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆133Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆126Updated 3 years ago