kanakaero / Dataset-of-Aerodynamic-and-Geometric-Coefficients-of-AirfoilsLinks
Dataset of Airfoil Aerodynamic and Geometric Coefficients
☆12Updated 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:
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆23Updated 5 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Updated last year
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Multi-head attention network for airfoil flow field prediction☆16Updated 3 years ago
- This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils☆20Updated 9 months ago
- ☆15Updated 3 weeks 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
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated 9 months ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆14Updated last year
- ☆13Updated 5 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆22Updated 2 years ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆16Updated last week
- ☆12Updated 11 months ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 10 months ago
- ☆12Updated 2 weeks ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆15Updated 3 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 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
- ☆12Updated 2 years ago
- CNN model to predict the lift-drag ratio of airfoil☆18Updated 4 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 years ago
- Numerical schemes for the Cahn-Hilliard equation.☆19Updated 8 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆25Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Data preprocess method on Physics-informed neural networks☆23Updated 9 months ago
- OpenFOAM simulations of transonic shock buffets at a NACA-0012 airfoil☆29Updated 2 years ago