maziarraissi / HFMLinks
Hidden Fluid Mechanics
☆328Updated 2 years ago
Alternatives and similar repositories for HFM
Users that are interested in HFM are comparing it to the libraries listed below
Sorting:
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆184Updated 2 years ago
- A place to share problems solved with SciANN☆286Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- Physics-informed neural network for solving fluid dynamics problems☆239Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆348Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆157Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆207Updated 2 years ago
- ☆361Updated 2 years ago
- ☆221Updated 3 years ago
- PINN in solving Navier–Stokes equation☆109Updated 5 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆245Updated 3 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆196Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆216Updated 8 months ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆318Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆108Updated 2 years ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆277Updated last year
- ☆112Updated 6 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆267Updated 2 months ago
- ☆476Updated 5 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆138Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- Physics Informed Neural Network (PINN) for the wave equation.☆183Updated 5 years ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆208Updated 2 months ago
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆224Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆235Updated 10 months ago
- ☆190Updated 2 years ago
- PINN program for computational mechanics☆118Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago