PML-UCF / pinn
Physics-informed neural networks package
☆247Updated 2 years ago
Related projects: ⓘ
- A place to share problems solved with SciANN☆237Updated 10 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆234Updated 2 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆163Updated 2 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆480Updated 3 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆317Updated 8 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆246Updated 9 months ago
- ☆106Updated 2 years ago
- Investigating PINNs☆473Updated 3 years ago
- ☆267Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆428Updated 7 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆217Updated last month
- Physics-informed neural network for solving fluid dynamics problems☆178Updated 3 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆187Updated 3 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆118Updated 4 months ago
- ☆168Updated 2 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆195Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆146Updated last year
- DeepONet & FNO (with practical extensions)☆205Updated last year
- Physics-Informed Neural networks for Advanced modeling☆361Updated last week
- ☆135Updated 7 months ago
- DeepXDE and PINN☆72Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆293Updated 2 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆35Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆115Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆112Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆138Updated last year
- Basic implementation of physics-informed neural networks for solving differential equations☆70Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆114Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆54Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆94Updated 5 months ago