KTH-FlowAI

MARL-drag-reduction-in-wall-bounded-flows

A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open channel flow

Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations

FCN-turbulence-predictions-from-wall-quantities

Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence

beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows

DeepReinforcementLearning_RayleighBenard2D_Control

Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.

Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows

9eqModel_KNFandLSTM

causality-urban-flows

DeepTurbulence

Enhancement-of-PIV-via-PINNs

Enhancement of PIV measurements via physics-informed neural networks

DNS-ZPG-TBL-with-passive-scalars-up-to-Pr6

Physics-informed-deep-learning-applications-to-experimental-fluid-mechanics

Beta-VAE-combined-with-Transformers-for-ROM

Identifying-regions-of-importance-in-wall-bounded-turbulence-through-explainable-deep-learning

Code for reproducing the article: Identifying regions of importance in wall-bounded turbulence through explainable deep learning.

Sentiment-analysis-on-Twitter-data-towards-climate-action