TharinduMiyanawala / CNNforCFDLinks
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
Alternatives and similar repositories for CNNforCFD
Users that are interested in CNNforCFD are comparing it to the libraries listed below
Sorting:
- Deep Learning of Vortex Induced Vibrations☆99Updated 5 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
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Updated 10 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 4 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
- CNN for airfoil lift-to-drag-ratio prediction☆46Updated 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…☆34Updated 5 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆96Updated 6 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 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
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 5 years ago
- POD-PINN code and manuscript☆57Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Updated 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
- ☆26Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆71Updated 2 weeks ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆43Updated 7 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 6 years ago
- ☆25Updated 5 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆33Updated last year
- 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
- Physics-informed neural networks for highly compressible flows 🧠🌊☆29Updated 2 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated 3 years ago
- An array of fluid solver codes, including Projection, Pseudo-Spectral (FFT), Lattice Boltzmann, and the Panel Method with implementations…☆38Updated 6 months ago
- Python tools for non-intrusive reduced order modeling☆20Updated 9 months ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆20Updated 5 years ago