CEASIOMpy is a Python conceptual aircraft design environment

optimizes an Airfoil for a blended wing body using cfd analysis with su2 and optimization by openMdao

Python tool to genreate 2D meshes around airfoils

An all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil

many powerful tools for studying irreducible representations of SU(n), including making animations of hadron flavor-state multiplets

A simple framework that automatically generates SU2 configuration (.cfg) files and make calls to SU2 to perform aeroelastic simulations all within Python. The Matrix Pencil method is then used to compute the damping coefficient.

Gmsh geometry generator for Flow and SU2 CFD solvers

Python script to map a SU2 CFD solution to a new mesh

Workflow for setting up fluid data manifolds for data-driven simulations in SU2

In this code we construct a wind tunnel for a 2D-truncated cone parametrized according to the user input (base, height and top) dimensions and wind velocity. It uses SU2 open source finite-element code to calculate important physical quantities such as surface energy or heat flux.