afzalhussain23 / Image-Based-CFD-Using-Deep-Learning
Undergraduate Research Project
☆32Updated 6 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
- CFD-DeepLearning-UNET☆14Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆17Updated 2 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆46Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆35Updated 9 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 4 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
- Application of Deep Learning to Computational Fluid Dynamics☆20Updated 6 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…☆30Updated 4 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆29Updated last year
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆15Updated last year
- Deep reinforcement learning with OpenFOAM☆41Updated last year
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆13Updated last week
- CNN for airfoil lift-to-drag-ratio prediction☆42Updated 6 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆64Updated 4 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆13Updated 4 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆20Updated 2 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆26Updated last year
- Python tools for non-intrusive reduced order modeling☆19Updated 3 weeks ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- Dockerfile to create an image with OpenFOAM-plus and PyTorch support☆41Updated 6 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆26Updated last year
- Pythonic spectral proper orthogonal decomposition☆38Updated 2 years ago
- This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction ove…☆40Updated 4 months ago
- Using PyTorch within OpenFOAM☆11Updated 11 months ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆30Updated last year
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆31Updated 4 years ago