On-Demand
Join us to discover how AI-powered Reduced Order Modeling (ROM) is drastically shortening airbag model validation in automotive crash simulations. Traditional calibration methods are time-consuming and limited by computational costs. In this session, we’ll showcase how ROM enables the testing of thousands of parameter combinations in just days—dramatically improving model accuracy and reducing validation time. See real-world results from industrial studies and experimental tests, and understand how this approach can streamline your CAE workflows.
Key Takeaways:
Computer aided engineering professionals.
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