jerabaul29 / Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
☆151Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Cylinder2DFlowControlDRL
- Parallelizing DRL for Active Flow control☆62Updated last year
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆135Updated 3 months ago
- reinforcement learning for active fluid control☆28Updated 4 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆135Updated 2 weeks ago
- Reduced order modelling techniques for OpenFOAM☆170Updated 3 weeks ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆45Updated 2 years ago
- Deep reinforcement learning to perform shape optimization☆58Updated 3 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆50Updated 9 months ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆57Updated 3 years ago
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆201Updated last year
- Deep Learning of Vortex Induced Vibrations☆87Updated 4 years ago
- Easy Reduced Basis method☆80Updated last month
- ☆16Updated last year
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆31Updated 3 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆90Updated 5 years ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆82Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆80Updated last year
- Immersed Boundary Projection Method☆100Updated 4 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆55Updated 3 years ago
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆244Updated 2 years ago
- Deep Learning for Reduced Order Modelling☆86Updated 3 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆31Updated last year
- The Large-Eddy Simulation framework from the Turbulence Research Group at Johns Hopkins University☆130Updated 3 years ago
- Pythonic spectral proper orthogonal decomposition☆33Updated 2 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆83Updated last month
- ☆113Updated 2 years ago
- Source and vortex panel method codes referenced in my YouTube videos.☆87Updated 4 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆5Updated 2 months ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆31Updated 9 years ago
- A benchmark library for DRL-based flow control☆10Updated 6 months ago