DonsetPG / fenics-DRL
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
☆62Updated 3 years ago
Alternatives and similar repositories for fenics-DRL:
Users that are interested in fenics-DRL are comparing it to the libraries listed below
- reinforcement learning for active fluid control☆29Updated 4 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆45Updated 2 years ago
- Deep reinforcement learning with OpenFOAM☆37Updated last year
- The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforce…☆13Updated 5 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆54Updated last year
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆32Updated 4 years ago
- Parallelizing DRL for Active Flow control☆65Updated last year
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆17Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- A benchmark library for DRL-based flow control☆13Updated last month
- Deep reinforcement learning to perform shape optimization☆61Updated 3 years ago
- code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning☆154Updated last year
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆61Updated last month
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- ☆20Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆55Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆33Updated 9 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆46Updated 2 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆9Updated 4 months ago
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Updated 5 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- OpenFOAM and Machine Learning Hackathon☆66Updated 8 months ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆41Updated 6 years ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Example code implementation of learning to swim in potential flow via reinforcement learning☆12Updated 9 months ago