Event Time: Tuesday, October 13 from 10am - 11am PT

Overview:

Pickup-truck aerodynamics directly affects fuel consumption, electric range, and the speed of vehicle development. Yet high-fidelity aerodynamic feedback often arrives after key styling decisions are already difficult to reverse.

In this webinar, see how Luminary’s Large Physics Model for pickup truck design, SHIFT-Truck, brings scale-resolving aerodynamic prediction into early design exploration. We’ll show how Luminary trained the Large Physics Model on DDES of a parameterized Generic Truck Utility, how the model predicts surface pressure, wall shear stress, and integrated forces from geometry, and how teams can explore thousands of pickup variants before committing high-fidelity CFD to the most promising candidates.

What You'll Learn:

• How SHIFT-Truck was built: the Generic Truck Utility reference geometry, a 17-parameter design space, scale-resolving SA-DDES training data, and the Luminary-SMART architecture
• How prediction accuracy was evaluated: comparison with held-out DDES cases, including surface-field predictions, a median drag-coefficient error of 3.8 counts, and an R² of 0.96
• How Physics AI changes the design loop: deliver aerodynamic feedback while designers still have freedom to change cab, bed, front-end, stance, air-dam, and bed-cover geometry
• How pretrained models transfer across vehicle classes: lessons from fine-tuning SHIFT-SUV on pickup-truck data and where pretrained weights can reduce data requirements

Who Should Watch:

• Automotive aerodynamicists and CFD engineers working on pickups, SUVs, and commercial vehicles
• Vehicle designers and studio engineers who need aerodynamic feedback earlier in the styling process
• Optimization, performance, range, and energy-efficiency teams evaluating large design spaces
• AI/ML practitioners building geometry-conditioned surrogate models or Physics AI workflows
• Engineering leaders looking to combine high-fidelity CFD with rapid, model-based exploration