Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

An Aircraft Design Toolbox

The Microsoft Defender for Office 365 Recommended Configuration Analyzer (ORCA)

DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization

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

xflrpy is a python enabled version of xflr5 for scripting and design optimization.

Materials for my Structural and Multidisciplinary Design Optimization course

Multifidelity Kriging, Efficient Global Optimization

High-aspect-ratio composite wing nonlinear aeroelastic toolbox

Defender Resource Hub

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

Multifidelity aeroelastic optimization with application to a BWB

Mapping, Radial Basis Function, RBF, FSI

Open-source Link between AGILE and OpenMDAO

Structural Wing Model Reduction in Fluid-Structure Interactions

Assignment for the TU Delft Master Course: AE4205 MDO for Aerospace Applications

derived from openaerostruct

Distributed Multidisciplinary Design Optimization

My Session presentations

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