Andre Weiner's repositories
machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
ml-cfd-lecture
Lecture material for machine learning applied to computational fluid mechanics
of_pytorch_docker
Dockerfile to create an image with OpenFOAM-plus and PyTorch support
phd_openfoam
OpenFOAM utilities and solvers related to my PhD
turbulence_modelling_lecture
Modelling and simulation of turbulent flows - lecture material
ofw2022_dmd_training
Material for the OpenFOAM workshop 2022
sgs_model_test_transient
Evaluation of an SGS model for mass transfer at risining bubbles in the initial transient stage
drl_in_fluids_articles
An overview of articles related to deep reinforcement learning in fluid mechanics
wall_modeling
Development of OpenFOAM wall functions for turbulent flows
ml-cfd-slides
Course slides
phd_notebooks
Jupyter notebooks related to my PhD
flowAcylenderDLR
code for active flow control of flow around cynder using Deep Reinforcement Learning
Data_driven_wall_modeling
Master thesis project for data-driven wall modeling for turbulent flows
transonic_shock_buffet
This repository is dedicated for the studienarbeit project of "Numerical investigation of 2D transonic shock-buffet around a NACA 0012-34 airfoil using OpenFOAM" undertaken by Mr. Tushar Gholap under the guidance of Dr. Andre Weiner
MB_DRL_for_accelerated_learning_from_CFD
Model-based DRL for flow control
pytorch-cpp
C++ Implementation of PyTorch Tutorial for Deep Learning Researchers
turb-slides
Reveal.js slides for lecture on turbulence modeling
hybrid_approach_species
Complementary material for the corresponding article
myheutagogy
Code and examples related to myheutagogy.com articles
of_app_isolation
Isolate a single OpenFOAM application in a Docker image
openfoam-smartsim
Sub-module for OpenFOAM that provides a solver for embedding SmartSim and its external dependencies (i.e. SmartRedis) into OpenFOAM.