mdribeiro / DeepCFDLinks
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
☆308Updated 2 years ago
Alternatives and similar repositories for DeepCFD
Users that are interested in DeepCFD are comparing it to the libraries listed below
Sorting:
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆268Updated 3 years ago
- Curated list for ML in FM☆235Updated 5 months ago
- Lecture material for machine learning applied to computational fluid mechanics☆432Updated last month
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆206Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆263Updated 5 years ago
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆217Updated 2 years ago
- Hidden Fluid Mechanics☆353Updated 3 years ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆109Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆260Updated 3 months ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆276Updated 3 weeks ago
- ☆117Updated last year
- ☆200Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆159Updated 5 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆179Updated 10 months ago
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆238Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆132Updated 3 months ago
- Physics-informed neural networks for two-phase flow problems☆74Updated 4 months ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Updated 5 months ago
- This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.☆305Updated 6 years ago
- ☆93Updated last year
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆316Updated 8 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆241Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆190Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- A place to share problems solved with SciANN☆303Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆363Updated 2 years ago
- PINN in solving Navier–Stokes equation☆125Updated 5 years ago
- A simple full-python 2D lattice-boltzmann code☆207Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆166Updated this week