afzalhussain23 / Image-Based-CFD-Using-Deep-LearningLinks
Undergraduate Research Project
☆36Updated 7 years ago
Alternatives and similar repositories for Image-Based-CFD-Using-Deep-Learning
Users that are interested in Image-Based-CFD-Using-Deep-Learning are comparing it to the libraries listed below
Sorting:
- CFD-DeepLearning-UNET☆18Updated 4 years ago
- CNN for airfoil lift-to-drag-ratio prediction☆46Updated 6 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆51Updated 3 years ago
- This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction ove…☆43Updated last year
- Deep reinforcement learning with OpenFOAM☆46Updated 7 months ago
- Dockerfile to create an image with OpenFOAM-plus and PyTorch support☆45Updated last year
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆32Updated last year
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆108Updated 3 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆49Updated 2 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆29Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.☆36Updated 6 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 4 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Updated 10 years ago
- Video tutorial on YouTube (https://youtu.be/9DkhHDEu1zU) to write a Computational Fluid Dynamics (CFD) solver from scratch using Python, …☆17Updated 4 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Updated 2 years ago
- Using PyTorch within OpenFOAM☆13Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Updated 3 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆33Updated 5 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆44Updated 7 years ago
- Physics-informed neural networks for two-phase flow problems☆72Updated 2 months ago
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆46Updated last year
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆66Updated 4 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated 2 years ago
- Deep Learning of Vortex Induced Vibrations☆99Updated 5 years ago