mdolab/dafoam

OpenMDAO repository.

ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Foam-Agent: A large language model-based multi-agent framework for automating computational fluid dynamics workflows. Published in Computer Methods in Applied Mechanics and Engineering (CMAME).

PyFR

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.

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

AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and latent-space acceleration. Built with JAX.

A differentiable PDE solving framework for machine learning