KTH-FlowAI / DeepReinforcementLearning_RayleighBenard2D_ControlLinks
Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
☆21Updated 2 years ago
Alternatives and similar repositories for DeepReinforcementLearning_RayleighBenard2D_Control
Users that are interested in DeepReinforcementLearning_RayleighBenard2D_Control are comparing it to the libraries listed below
Sorting:
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 5 years ago
- ☆24Updated 4 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆53Updated 3 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 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
- Discontinuity Computing Using Physics-Informed Neural Network☆27Updated last year
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆30Updated 2 years ago
- A Python library for training neural ODEs.☆26Updated 11 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25Updated 2 years ago
- ME 50900 - Intermediate Fluid Mechanics☆25Updated 3 weeks ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆96Updated 6 years ago
- LES-ML closures for Kraichnan turbulence☆19Updated 6 years ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆68Updated 4 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Updated 4 years ago
- Turbulent flow network source code☆71Updated 10 months ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Updated 5 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Updated 4 years ago
- ☆19Updated 8 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆21Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- A scalable reinforcement learning framework for CFD on HPC systems☆35Updated 9 months ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆25Updated 2 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Updated 2 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated last year
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆16Updated 5 years ago
- ☆30Updated last year
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 5 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆38Updated 2 weeks ago