fyang235 / Deep-Learning-Turbulence-model
Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.
☆17Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-Turbulence-model:
Users that are interested in Deep-Learning-Turbulence-model are comparing it to the libraries listed below
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆56Updated 4 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆34Updated last year
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆45Updated 2 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- ☆29Updated 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
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆17Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆21Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆22Updated last year
- POD-PINN code and manuscript☆47Updated 3 months ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆33Updated 8 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 5 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆33Updated 9 years ago
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆47Updated 4 years ago
- Script (with example) to compute the kinetic energy spectrum of periodic turbulent flows.☆35Updated 3 years ago
- Thoughts about ML committee for OpenFOAM☆36Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆28Updated 10 months 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…☆29Updated 4 years ago
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆21Updated 4 years ago
- Pythonic spectral proper orthogonal decomposition☆35Updated 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
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆19Updated 3 years ago
- An interfacing library to deploy machine-learning models in CFD codes easily☆31Updated last month
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 10 months ago
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆28Updated 2 years ago