fyang235 / Deep-Learning-Turbulence-modelLinks
Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.
☆20Updated 6 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
Sorting:
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆39Updated 2 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- ☆29Updated last month
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆47Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆14Updated last week
- POD-PINN code and manuscript☆51Updated 6 months ago
- Pythonic spectral proper orthogonal decomposition☆40Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 4 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…☆31Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- Companion code for Data-Driven Resolvent Analysis☆19Updated 3 years ago
- Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames☆13Updated 3 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆20Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- ☆19Updated 7 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆35Updated 9 years ago
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆22Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆31Updated 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
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆35Updated 11 months ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆28Updated last year