kfxw / CFD_Mesh_Parameterization
Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation Forum 2023
☆17Updated last year
Alternatives and similar repositories for CFD_Mesh_Parameterization:
Users that are interested in CFD_Mesh_Parameterization are comparing it to the libraries listed below
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆47Updated 2 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- Laminar flow prediction using graph neural networks☆27Updated 2 months ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆22Updated 2 months ago
- ☆24Updated 2 months ago
- Multi-head attention network for airfoil flow field prediction☆12Updated 2 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
- ☆19Updated 2 years ago
- Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"☆67Updated 9 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆43Updated 10 months ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆45Updated 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
- Deep reinforcement learning with OpenFOAM☆40Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- Parallelizing DRL for Active Flow control☆66Updated last year
- Deep Learning for Reduced Order Modelling☆93Updated 3 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆34Updated 9 years ago
- Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning☆31Updated 4 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 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…☆30Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆25Updated last year
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆55Updated 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
- Official repository of paper, entitled "Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network".☆32Updated last year
- ☆15Updated last month
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆35Updated last year
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago