xiaoh / para-database-for-PIML
DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling
☆36Updated last year
Alternatives and similar repositories for para-database-for-PIML:
Users that are interested in para-database-for-PIML are comparing it to the libraries listed below
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆35Updated 10 months ago
- Pythonic spectral proper orthogonal decomposition☆38Updated 2 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
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆47Updated 3 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
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆20Updated 6 years ago
- CFD codes written based on examples in various books like Patnakar, Versteeg etc☆50Updated 4 years ago
- Thoughts about ML committee for OpenFOAM☆37Updated 2 years ago
- An interfacing library to deploy machine-learning models in CFD codes easily☆32Updated 3 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆26Updated last year
- A library for wall-modelled Large-Eddy Simulation in OpenFOAM.☆52Updated 3 months ago
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆57Updated last year
- Repository containing the simulation setups and libraries from the thesis 'CFD Simulation of a Floating Wind Turbine with OpenFOAM'.☆52Updated last year
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆13Updated 2 weeks ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆26Updated last year
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 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
- Community Edition of AccelerateCFD platform for creating reduced order models from high fidelity CFD☆52Updated 2 years ago
- ☆66Updated 5 months ago
- Modelling and simulation of turbulent flows - lecture material☆32Updated last year
- Adds input definition for turbulent inflow model to OpenFOAM files☆47Updated 3 months ago
- Companion code for Data-Driven Resolvent Analysis☆19Updated 3 years ago
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆88Updated 6 months ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆40Updated 7 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆108Updated 5 months ago
- Additional turbulence models for OpenFOAM☆47Updated this week
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆31Updated last year