Tests for SHARPy

Generic aeroelastic analysis and adjoint-based gradient evaluation tools

The OpenFOAM library for sonic boom prediction

Surrogate models trained on multiple levels of data

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Must-read Papers on Physics-Informed Neural Networks.

Python Dynamic Mode Decomposition

Dynamic Mode Decomposition

Source code for MAST

SU2 Columbia: A SU2 fork for large-scale aeroelastic optimization

FEM of the WINDY Wind Tunnel Model fitted with the 'Lite' Folding Wingtip.

Analysis of an arbitrary cross-section in python using the finite element method.

co design MDO flutter Direct Transcription

Some usefull scripts for the Nastran's 145 solution (Flutter Analysis) using the pyNastran and Femap integration.

machine learning and deep learning tutorials, articles and other resources

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

A curated list of repositories related to fluid dynamics.

Comparison of various numerical methods for computational fluid dynamics

FAST-(OAD)-GA is a framework for performing rapid Overall Aircraft Design for General Aircraft

A collection of functions and classes for handling Nastran bulk data and results in MATLAB

iVABS is a VABS-based design framework for composite beams including helicopter rotor blades, wind turbine blades, high aspect ratio wings, etc.

An Open Nonlinear Structural Analysis System

Must-read papers on graph neural networks (GNN)

Generate and plot the contour of an airfoil using the PARSEC parameterization

Generic aeroelastic analysis and adjoint-based gradient evaluation tools