TharinduMiyanawala / CNNforCFD
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
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆34Updated 9 years ago
- Deep Learning of Vortex Induced Vibrations☆93Updated 5 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
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- Python tools for non-intrusive reduced order modeling☆19Updated 8 months ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 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
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆42Updated 6 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆18Updated 3 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
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 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
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 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
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆16Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆25Updated last year
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- POD-PINN code and manuscript☆50Updated 4 months ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Tutorial on a number of topics in Deep Learning☆35Updated 5 years ago
- ☆19Updated 7 years ago
- ☆24Updated 6 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated 2 years ago