Event Date/Time:
Thursday, August 20 at 10 am PT

Overview:

Aerospace development is safety-critical, certification-bound, with expensive expensive reworks due to upstream decisions being the norm. At the same time, teams are continually pushed to improve speed, cost, performance, and confidence in parallel.

Physics AI is a practical response, but the constraint it relieves changes across the development lifecycle. In concept work, the binding constraint is engineering calendar time and how much of the design space a team can afford to explore. By test and certification, the cost moves to test specimens, rig hours, and flight hours. A capability that helps at one phase does not automatically help at the next.

This webinar walks across the aerospace product development lifecycle: concept and architecture, subsystem and detailed design, build and certification, and in-service operation. At each phase we discuss use cases for Physics AI that compress iteration cycles and reduce downstream risk.

What You'll Learn:

• Concept and architecture: Screen thousands of candidate designs before committing to an architecture, instead of narrowing to a few affordable options early.
• Subsystem and detailed design: Aerodynamic prediction within 1 to 3 percent of high-fidelity CFD, returned in seconds rather than hours, with the solver validating the cases that matter.
• Build through certification: Where program cost is measured in hardware and schedule rather than compute, and how faster, better-bounded predictions reduce the test and verification burden.
• In-service and sustainment: Reuse the models built during design as digital twins that keep predicting behavior after the product enters service.

Who Should Attend:

• Engineering and AI executives accountable for moving AI past isolated pilots, who need program-wide scope and measurable ROI.
• AI and digital-engineering leaders who need a fast first win and a documented path to extend the same model into later phases.
• Chief engineers and technical authorities who require accuracy demonstrated on their own geometry before they endorse, with CFD kept as the certification gate.