Overview:

In Aerospace and Defense, a valuable digital twin of an aircraft or missile system has three key capabilities - predict the complex physical interactions between the various domains, learn and adapt from real world data continuously and react fast enough to provide actionable feedback.

For a missile system that typically operates in non-linear aerodynamic regimes, building an accurate digital twin that is multi-domain, adaptable and fast can be prohibitively complex.

Physics AI has the potential to address this challenge by predicting high-fidelity fields (and derived quantities of interest) in seconds.

In this webinar, we demonstrate a Digital Twin reference architecture using SHIFT-Missile, a  Physics AI model for missile aerodynamics and structural mechanics.

What You'll Learn:

• How the model is built: geometry parameterization, large-scale data generation, and training approach
• Model performance highlights: agreement with CFD across predicted quantities and what that enables for engineering workflows
• Continuous Model Correction: to bridge the real world and virtual environment.

What This Enables:

• Coupled workflows: Rapid aero-structural iteration, sensitivity analysis, uncertainty quantification, etc.
• Real-time Simulator: Realistic simulator with high-fidelity Physics AI engine
• Multidisciplinary Design Optimization: Embed inference directly inside optimization loops to evaluate thousands of candidates
• Trajectory/mission analysis: Rapidly evaluate aero-structural performance to analyze system limits for safe and feasible maneuvers

Who Should Attend:

• Aerospace & defense engineering teams evaluating faster ways to generate and operationalize aerodynamic insight
• CFD simulation engineers, GNC Engineers, Loads and Dynamics, Structural engineers and Thermal Engineers interested in Physics AI surrogates
• R&D and technical leadership exploring scalable model-driven design workflows
• AI/ML practitioners working on geometry-conditioned learning, PDE surrogates, or physics-informed system