afzalhussain23 / Image-Based-CFD-Using-Deep-LearningLinks
Undergraduate Research Project
☆33Updated 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
Sorting:
- CFD-DeepLearning-UNET☆14Updated 4 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 10 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Updated 2 years ago
- CNN for airfoil lift-to-drag-ratio prediction☆43Updated 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
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Updated 4 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆33Updated 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…☆32Updated 4 years ago
- Deep reinforcement learning with OpenFOAM☆44Updated 2 months ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆31Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆101Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 3 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- ☆72Updated 7 months ago
- Deep Learning of Vortex Induced Vibrations☆97Updated 5 years ago
- Dockerfile to create an image with OpenFOAM-plus and PyTorch support☆44Updated 8 months ago
- This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction ove…☆39Updated 7 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆48Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆60Updated 4 years ago
- Predicting 2D Steady State Fluid Flow Fields using Convolutional Neural Networks☆10Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆64Updated 2 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆39Updated 3 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated 8 months ago