kanakaero / Dataset-of-Aerodynamic-and-Geometric-Coefficients-of-AirfoilsLinks
Dataset of Airfoil Aerodynamic and Geometric Coefficients
☆13Updated 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☆17Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Updated 5 years ago
- ☆16Updated 3 months ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17Updated 4 years ago
- ☆12Updated last year
- CNN model to predict the lift-drag ratio of airfoil☆18Updated 4 years ago
- ☆17Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆12Updated 4 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆25Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Updated last year
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated last year
- ☆13Updated 6 years ago
- This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils☆26Updated last year
- ☆12Updated 5 months ago
- ☆27Updated last year
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Updated 2 years ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated 2 weeks ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 5 years ago
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆10Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Updated 3 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 4 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆13Updated 2 weeks ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆29Updated 2 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆20Updated 9 months ago
- ☆14Updated 4 years ago