kanakaero / Dataset-of-Aerodynamic-and-Geometric-Coefficients-of-AirfoilsLinks
Dataset of Airfoil Aerodynamic and Geometric Coefficients
☆10Updated last year
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:
- Multi-head attention network for airfoil flow field prediction☆14Updated 2 years ago
- ☆11Updated last month
- This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils☆17Updated 6 months ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated 2 months ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- CNN model to predict the lift-drag ratio of airfoil☆15Updated 4 years ago
- ☆14Updated 3 months ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 4 months ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆15Updated 2 weeks ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 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
- ☆11Updated last year
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆21Updated 5 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years 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
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆14Updated 3 years ago
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 7 months ago
- ☆11Updated 8 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆13Updated 5 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆22Updated 10 months ago