NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, exposed to end-users in pure Python/NumPy.

An object-oriented Python 3 GUI and API for single- and multi-element parametric airfoil design, analysis, and optimization

Mapping, Radial Basis Function, RBF, FSI

Open-source Link between AGILE and OpenMDAO

A dynamic, graph-driven Multidisciplinary Design Optimization (MDO) framework integrating FalkorDB, OpenMDAO, and multi-fidelity surrogate models.

derived from openaerostruct

Distributed Multidisciplinary Design Optimization

Interactive tutorial for conceptual eVTOL design optimization using OpenMDAO, JAX, and Jupyter Notebooks.

Design team MDO for MACH and M-Fly

How to replace classical POD+I to do Real Time Aeroelasticity

Research Project: HALE Aeroecodesign

O algoritmo MDO é utilizado para otimizar problemas complexos que envolvem múltiplas disciplinas. Ele é amplamente aplicado em engenharia, especialmente em design aeroespacial e automotivo.

Toolkit for 3-D parametric design of aerodynamic surfaces

MDO on a liquid sounding rocket

HYDRA-C2: Multi-Domain Operations C2 Framework — 25 actors, 18 API endpoints, MIL-STD-2525B COP dashboard, OODA/kill-web doctrine, ADS-B/AIS/SDR signal intelligence

Research Project Pilar Tagliero 2021

Space benchmark problem repository

Dynamic MDO mathematical problem

Evaluation interface documentation and examples for ADORE.

A proof-of-concept of using DEAP as an optimization driver for OpenMDAO.