Photon-AI-Research / NeuralSolversLinks
Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks in pytorch.
☆151Updated 5 months ago
Alternatives and similar repositories for NeuralSolvers
Users that are interested in NeuralSolvers are comparing it to the libraries listed below
Sorting:
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆199Updated 2 years ago
- ☆212Updated 3 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- Solving PDEs with NNs☆53Updated 2 years ago
- ☆181Updated 3 months ago
- ☆97Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆340Updated last year
- Hidden physics models: Machine learning of nonlinear partial differential equations☆145Updated 5 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- ☆116Updated 5 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated 2 months ago
- ☆143Updated 3 years ago
- Applications of PINOs☆126Updated 2 years ago
- A place to share problems solved with SciANN☆281Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆100Updated 10 months ago
- hPINN: Physics-informed neural networks with hard constraints☆134Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆260Updated last year
- PyTorch-FEniCS interface☆101Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆232Updated 8 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆177Updated 4 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆428Updated this week
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- ☆167Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆233Updated 3 years ago
- ☆354Updated 2 years ago
- ☆102Updated last year