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:
- This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils☆19Updated 8 months ago
 - ☆15Updated 5 months 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
 - Multi-head attention network for airfoil flow field prediction☆16Updated 3 years ago
 - Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆16Updated last week
 - CNN model to predict the lift-drag ratio of airfoil☆17Updated 4 years ago
 - KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
 - ☆12Updated 10 months ago
 - 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
 - ☆13Updated 5 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
 - Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆12Updated 11 months ago
 - This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
 - PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆17Updated 6 months ago
 - Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆21Updated 2 years ago
 - Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
 - Physics-Informed Super-Resolution☆10Updated 2 years ago
 - Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 years ago
 - This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
 - ☆14Updated 11 months ago
 - Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
 - Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
 - Laminar flow prediction using graph neural networks☆31Updated 9 months ago
 - Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
 - Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
 - ☆41Updated 3 years ago
 - code for active flow control of flow around cynder using Deep Reinforcement Learning☆50Updated 3 years ago
 - Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 9 months ago
 - ☆18Updated last year
 - Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆15Updated 3 years ago