Aerodynamic multidisciplinary design and optimization framework. (Source-Available: Free for academic/evaluation; License required for Commercial/HPC/Cloud use.)

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

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

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

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

Lattice QCD multi-quark flux-tube program: SU(2) high-statistics remeasurement to SU(3) 6q systems.

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

ParaView Python reader plugin for SU2 .su2 mesh files (volume + boundary markers).

Automated calibration of RANS turbulence models for hypersonic flows using SciML. Achieved 26% RMSE reduction at Mach 14.

Closed-form hypergeometric product formula and reproducible implementations for SU(2) 3nj recoupling coefficients. Includes reference datasets, cross-repo validation harness, and paper sources.

# Universal Closed-Form Hypergeometric Representation of SU(2) 3nj Symbols

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.

# SU(2) Node Matrix Elements

# Closed-Form Finite Recurrences for SU(2) 3nj Symbols