jerabaul29 / Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
☆160Updated last year
Alternatives and similar repositories for Cylinder2DFlowControlDRL
Users that are interested in Cylinder2DFlowControlDRL are comparing it to the libraries listed below
Sorting:
- Parallelizing DRL for Active Flow control☆66Updated last year
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆149Updated 2 months ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆64Updated 4 years ago
- Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"☆70Updated last month
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆151Updated 2 months ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆47Updated 3 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆57Updated last year
- ☆16Updated last year
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆209Updated 2 years ago
- Deep reinforcement learning to perform shape optimization☆64Updated 3 years ago
- Airfoil shape optimization using Reinforcement Learning☆18Updated last year
- reinforcement learning for active fluid control☆31Updated 4 years ago
- Immersed Boundary Projection Method☆109Updated 5 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆36Updated last year
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆91Updated 2 years ago
- Dockerfile to create an image with OpenFOAM-plus and PyTorch support☆42Updated 6 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆31Updated 4 years ago
- Deep Learning of Vortex Induced Vibrations☆94Updated 5 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆90Updated 6 months 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…☆181Updated 2 months ago
- Reduced order modelling techniques for OpenFOAM☆190Updated this week
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Pythonic spectral proper orthogonal decomposition☆38Updated 2 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆253Updated 2 years ago
- Deep Learning for Reduced Order Modelling☆99Updated 3 years ago
- The Large-Eddy Simulation framework from the Turbulence Research Group at Johns Hopkins University☆138Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago