Physics AI as a Strategic Advantage: How Physics-Based AI Models Are Reshaping U.S. Defense Engineering
An interview with Juan Alonso, Chief Technical Officer and co-founder of Luminary
Ahead of his presentation at CDFAM and his participation in the CD/DC real-time AI-augmented engineering demo for government observers, Juan Alonso discusses Luminary’s Physics AI models, which replace meshing and solving with a near-instant inference loop.
Alonso, who chaired Stanford’s Department of Aeronautics & Astronautics for three years and previously directed NASA’s Fundamental Aeronautics Program, describes an approach that generalizes across regimes as different as UAVs, submarines, and supersonic missiles.
The models bypass the meshing and convergence steps that have historically made multi-physics workflows slow and labor intensive:
“Imagine being able to perform multi-objective design optimization of an aircraft by coupling aerodynamics and structural analysis in seconds, as opposed to weeks with traditional simulation methods.”
On why this matters beyond commercial aerospace, Alonso points to defense applications specifically:
“I aim to share how the thoughtful combination of Agentic AI and Physics AI is emerging as the most important strategic capability for the Department of Defense and Intelligence Community in the past 3 decades.”
The interview covers how engineers validate Physics AI predictions against traditional CFD, what training data looks like for models that need to generalize across flow regimes, and what it takes to connect aerodynamic and structural analysis into a single workflow.
Read the full interview here: https://cdfam.com/luminary/
To learn directly from Juan about Physics AI applications for aerospace & defense, you can apply for an in-person meeting at CD/DC at this link: https://events.luminary.ai/cdfam-dc-26