akshaysubr / TEGANLinks
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
☆68Updated 4 years ago
Alternatives and similar repositories for TEGAN
Users that are interested in TEGAN are comparing it to the libraries listed below
Sorting:
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 4 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 4 years ago
- Code for the FiniteNet ICML Paper☆18Updated 5 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
- A Python package for spectral proper orthogonal decomposition (SPOD).☆115Updated 2 weeks ago
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆62Updated 5 months ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Updated 10 years ago
- POD-PINN code and manuscript☆57Updated last year
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆51Updated 3 years ago
- Pythonic spectral proper orthogonal decomposition☆45Updated 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
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Updated 4 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆70Updated last week
- ☆21Updated 6 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆42Updated 7 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆49Updated 2 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- An array of fluid solver codes, including Projection, Pseudo-Spectral (FFT), Lattice Boltzmann, and the Panel Method with implementations…☆37Updated 5 months ago
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆21Updated 6 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆35Updated 2 years ago
- ☆19Updated 7 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆163Updated last week
- 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 curated list of awesome Machine Learning projects in Fluid Dynamics☆108Updated 3 years ago