maziarraissi / HFMLinks
Hidden Fluid Mechanics
☆335Updated 2 years ago
Alternatives and similar repositories for HFM
Users that are interested in HFM are comparing it to the libraries listed below
Sorting:
- A place to share problems solved with SciANN☆295Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆263Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆336Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆197Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆252Updated 4 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆351Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆220Updated 2 years ago
- ☆370Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆176Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- ☆229Updated 4 years ago
- ☆493Updated 7 months ago
- PINN in solving Navier–Stokes equation☆115Updated 5 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆255Updated 4 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆201Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆345Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆241Updated 3 weeks ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆121Updated 3 weeks ago
- Characterizing possible failure modes in physics-informed neural networks.☆145Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- ☆180Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- DeepXDE and PINN☆138Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆288Updated 5 months ago
- ☆155Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆101Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆369Updated last year
- ☆115Updated 9 months ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆295Updated last year