A curated list of awesome Machine Learning projects in Fluid Dynamics
☆110Aug 4, 2022Updated 3 years ago
Alternatives and similar repositories for Machine_Learning_Fluid_Dynamics
Users that are interested in Machine_Learning_Fluid_Dynamics are comparing it to the libraries listed below
Sorting:
- This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.☆305Sep 12, 2019Updated 6 years ago
- Curated list for ML in FM☆237Sep 6, 2025Updated 5 months ago
- A list of papers relating Computational Physics and Machine Learning☆143Nov 28, 2018Updated 7 years ago
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆269Aug 26, 2022Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Jan 11, 2021Updated 5 years ago
- OpenFOAM examples for data-driven ML and ROM☆19Jul 25, 2023Updated 2 years ago
- A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation☆168Oct 2, 2018Updated 7 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆96Mar 21, 2019Updated 6 years ago
- Lecture material for machine learning applied to computational fluid mechanics☆434Dec 16, 2025Updated 2 months ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆217Feb 16, 2023Updated 3 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆39Jul 4, 2015Updated 10 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆28Oct 18, 2021Updated 4 years ago
- Computational fluid dynamics with tensorflow☆47Sep 23, 2023Updated 2 years ago
- compressing physics with neural networks☆160Jul 10, 2018Updated 7 years ago
- This repository is a collection of user elements for FEAP and generated using AceGen☆12Aug 26, 2021Updated 4 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆15Sep 9, 2024Updated last year
- Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"☆14Dec 16, 2019Updated 6 years ago
- This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction ove…☆43Dec 5, 2024Updated last year
- Deep reinforcement learning with OpenFOAM☆50May 13, 2025Updated 9 months ago
- machine learning-accelerated computational fluid dynamics☆20Jan 12, 2022Updated 4 years ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆336Nov 15, 2022Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 2 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- Application of Deep Learning to Computational Fluid Dynamics☆21Apr 26, 2019Updated 6 years ago
- This repository provides examples of coupling solvers using CoSimIO, including OpenFOAM with Kratos Multiphysics, as well as data exchan…☆50Aug 9, 2024Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Nov 29, 2022Updated 3 years ago
- Blog about ML and CFD☆10Oct 20, 2025Updated 4 months ago
- ☆15Updated this week
- The MegaFlow2D dataset package☆24Sep 21, 2023Updated 2 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆44Feb 10, 2018Updated 8 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Sep 6, 2021Updated 4 years ago
- Thoughts about ML committee for OpenFOAM☆43Jul 28, 2022Updated 3 years ago
- Deep Learning of Vortex Induced Vibrations☆99Feb 21, 2020Updated 6 years ago
- Easily convert OpenFOAM cases into dataframes for machine learning☆12Jan 12, 2025Updated last year