cfl-minds / drl_shape_optimizationLinks
Deep reinforcement learning to perform shape optimization
☆66Updated 4 years ago
Alternatives and similar repositories for drl_shape_optimization
Users that are interested in drl_shape_optimization are comparing it to the libraries listed below
Sorting:
- Parallelizing DRL for Active Flow control☆71Updated 2 years ago
- code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning☆184Updated 2 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆179Updated 11 months ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆68Updated 4 years ago
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆34Updated 5 years ago
- Paper repository: "Policy-based optimization: single-step policy gradient seen as an evolution strategy"☆25Updated 6 months ago
- Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"☆78Updated 10 months ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆53Updated 3 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆67Updated 2 years ago
- Deep reinforcement learning with OpenFOAM☆49Updated 8 months ago
- ☆16Updated 2 years ago
- reinforcement learning for active fluid control☆36Updated 5 years ago
- Deep Learning for Reduced Order Modelling☆107Updated 4 years ago
- Airfoil shape optimization using Reinforcement Learning☆24Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆31Updated 7 months ago
- Paper repository: "Beacon, a lightweight deep reinforcement learning benchmark library for flow control "☆13Updated last month
- Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".☆34Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆166Updated this week
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆71Updated last month
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆109Updated 3 years ago
- ☆34Updated 6 years ago
- ☆93Updated last year
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆50Updated 2 years ago
- An airfoil parametric method☆24Updated 7 years ago
- Easy Reduced Basis method☆94Updated 2 weeks ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆106Updated last year
- ☆24Updated 4 years ago