Dataset of Airfoil Aerodynamic and Geometric Coefficients
☆16Feb 5, 2026Updated last month
Alternatives and similar repositories for Dataset-of-Aerodynamic-and-Geometric-Coefficients-of-Airfoils
Users that are interested in Dataset-of-Aerodynamic-and-Geometric-Coefficients-of-Airfoils are comparing it to the libraries listed below
Sorting:
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 2 years ago
- A tool to manipulate control points of bezier curves. Main intended use is to generate .dat airfoil files which can be used to design sub…☆17Feb 6, 2024Updated 2 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆12May 3, 2021Updated 4 years ago
- ☆15Nov 18, 2024Updated last year
- ☆13Dec 30, 2019Updated 6 years ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆20Mar 1, 2026Updated last week
- Python 2D Navier-Stokes solver☆28Aug 4, 2025Updated 7 months ago
- ☆12Aug 22, 2025Updated 6 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 2 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Python companion to Low Speed Aerodynamics by Joseph Katz and Allen Plotkin☆25Nov 22, 2024Updated last year
- A curated list of awesome engineer design papers, including airfoil design, 3D print, CAD design☆25Sep 27, 2024Updated last year
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆24Jan 28, 2021Updated 5 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆33Mar 11, 2024Updated last year
- ☆16Nov 2, 2025Updated 4 months ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆84Nov 4, 2024Updated last year
- ☆17Apr 18, 2024Updated last year
- pockit: Python Optimal Control KIT☆14Jul 6, 2025Updated 8 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Python tool to genreate 2D meshes around airfoils☆49Feb 5, 2026Updated last month
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- Physics Informed Sparse Identification of Nonlinear Dynamics☆12Jan 3, 2025Updated last year
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- ☆14Nov 10, 2021Updated 4 years ago
- Official code of paper Self-attention eidetic 3D-LSTM: Video prediction models for traffic flow forecasting. Neurocomputing☆10Dec 2, 2022Updated 3 years ago
- ☆11Jan 7, 2025Updated last year
- This project discovers equations from data using SINDy (sparse identification on nonlinear dynamics).☆11Mar 22, 2022Updated 3 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- ☆10Mar 8, 2023Updated 3 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Console to simulate airflow around an airfoil based on RANS approach☆10Feb 27, 2026Updated last week
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- ☆21Sep 1, 2025Updated 6 months ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year
- ☆11Mar 31, 2021Updated 4 years ago
- 深度学习之神经网络核心原理与算法-课程学习相关代码☆12Aug 18, 2018Updated 7 years ago