About this Webinar:

Automotive product development is being reshaped by software-defined vehicles and agile, continuous iteration, compressing cycles that used to run on multi-year timelines. As requirements and designs evolve faster, teams must re-verify safety more often, yet crashworthiness is non-negotiable, and traditional crash workflows can become the pacing item for program decisions. When turnaround time is slow, risk shows up as late-cycle surprises, rework, schedule slips, and (in the worst case) compliance and recall exposure.

What We're Showing: SHIFT-Crash

In this webinar, we’ll demonstrate SHIFT-Crash, a Physics AI model that predicts full-vehicle crash response, including deformation and stress fields from design parameters in seconds. Rather than producing a simplified proxy, SHIFT-Crash generates full spatiotemporal fields that support the same kinds of post-processing and engineering interpretation as traditional FEA, but with dramatically faster iteration speed.

Impact

SHIFT-Crash is designed to improve safety decision-making while keeping pace with modern automotive development. Key outcomes and where they show up include:

• Accelerate certification timelines: run more “what-if” evaluations earlier, reducing bottlenecks in verification.
• Reduce compliance and recall risk: verify sooner and more frequently as requirements change.
• Increase engineering throughput: spend less time waiting on long cluster runs and more time iterating.
• Enable better cross-functional decisions: expand access to crash insight beyond a small group of specialists.

We’ll ground these outcomes in practical examples: rapid crashworthiness exploration across materials, shapes, and packaging decisions; battery safety cage concept evaluation to reduce thermal runaway risk under crash loads; joining strategy optimization (e.g., spot weld count/location) to improve structural integrity while minimizing rework; and early supplier/concept screening to avoid late-stage changes and schedule slips.

What You'll Learn:

Who Should Attend:

• Crash safety and CAE engineers who need to evaluate more variants, faster
• Vehicle program and engineering leaders accountable for schedule, certification risk, and compute spend
• Design and packaging teams balancing styling, packaging, and safety constraints
• Simulation and ML teams exploring Physics AI / surrogate modeling for crash workflows

If you're working to evaluate more design variants, reduce compute costs, or accelerate certification timelines, this will be worth your time.