Extrality / NACA_simulationLinks
Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.
☆24Updated 9 months ago
Alternatives and similar repositories for NACA_simulation
Users that are interested in NACA_simulation are comparing it to the libraries listed below
Sorting:
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆19Updated 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
- ☆22Updated 4 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 5 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
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated 2 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆21Updated 3 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated last year
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆33Updated last year
- 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
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 5 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Multi-head attention network for airfoil flow field prediction☆15Updated 3 years 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
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆32Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 4 months ago
- An array of fluid solver codes, including Projection, Pseudo-Spectral (FFT), Lattice Boltzmann, and the Panel Method with implementations…☆37Updated 3 months ago
- ☆12Updated 2 weeks ago
- This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction ove…☆40Updated 10 months ago
- Machine Learning enhanced CFD solver for incompressible isothermal fluid flow☆16Updated 2 months ago
- In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…☆16Updated 4 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆61Updated last year
- The MegaFlow2D dataset package☆23Updated 2 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 10 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago