Photon-AI-Research / NeuralSolvers
Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks in pytorch.
☆146Updated 2 months ago
Alternatives and similar repositories for NeuralSolvers:
Users that are interested in NeuralSolvers are comparing it to the libraries listed below
- ☆196Updated 3 years ago
- ☆172Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆184Updated 2 years ago
- ☆130Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆334Updated last year
- ☆92Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆158Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆127Updated 3 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆138Updated 4 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆143Updated 5 years ago
- A place to share problems solved with SciANN☆274Updated last year
- Solving PDEs with NNs☆52Updated 2 years ago
- Applications of PINOs☆120Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆373Updated this week
- ☆116Updated 5 years ago
- Example problems in Physics informed neural network in JAX☆78Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆130Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆137Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆171Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆146Updated 5 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆231Updated last year
- ☆283Updated 2 weeks ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago
- ☆329Updated 2 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆223Updated 5 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆257Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆161Updated 5 months ago
- ☆99Updated last year