loliverhennigh / Computational-Fluid-Dynamics-Machine-Learning-ExamplesLinks
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
☆297Updated 6 years ago
Alternatives and similar repositories for Computational-Fluid-Dynamics-Machine-Learning-Examples
Users that are interested in Computational-Fluid-Dynamics-Machine-Learning-Examples are comparing it to the libraries listed below
Sorting:
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆262Updated 3 years ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆104Updated 3 years ago
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆216Updated 2 years ago
- Lecture material for machine learning applied to computational fluid mechanics☆421Updated 9 months ago
- A list of papers relating Computational Physics and Machine Learning☆141Updated 6 years ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆291Updated last year
- A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation☆167Updated 7 years ago
- Curated list for ML in FM☆216Updated last month
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆228Updated last year
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆327Updated 2 years ago
- Reduced order modelling techniques for OpenFOAM☆203Updated 2 months ago
- A simple full-python 2D lattice-boltzmann code☆203Updated 2 years ago
- compressing physics with neural networks☆156Updated 7 years ago
- ☆347Updated last year
- In-situ data analyses and machine learning with OpenFOAM and Python☆180Updated last year
- Hypersonic / Rarefied gas dynamics code developments (GPL-3.0)☆251Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆158Updated 3 weeks ago
- Hidden Fluid Mechanics☆337Updated 2 years ago
- Deep Learning of Vortex Induced Vibrations☆99Updated 5 years ago
- DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization☆291Updated last week
- Spectral Navier Stokes (and similar) solvers in Python☆337Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 75 built-in examples, in…☆192Updated 2 months ago
- OpenFOAM cases and notes☆165Updated 2 years ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆261Updated last week
- Basic Computational Fluid Dynamics (CFD) schemes implemented in FORTRAN using Finite-Volume and Finite-Difference Methods. Sample simulat…☆190Updated 5 years ago
- Code accompanying The Lattice Boltzmann Method: Principles and Practice☆312Updated 7 years ago
- code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning☆175Updated 2 years ago
- OpenFoam postprocessing python tool☆182Updated 7 months ago
- Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®☆189Updated last year