The LIVE roundtable Developing and Deploying Reduced Order Models / The Catch-22 of Reduced Order Models takes place online on February 19, 2026.

With an AI-derived reduced order model (ROM) or surrogate model, you can dramatically speed up your simulation by bypassing the time-consuming, compute-intense simulation based on physics solvers. But here’s the paradox: in order to develop a reliable ROM, you need data from past simulation runs.

Danilo Di Stefano, modeFRONTIER Product Manager, is going to focus on the possibilities and challenges of using reduced order models (ROM) to accelerate simulation.

Don’t miss the chance to listen to this webinar and to get in touch with us during the Q&A session. Register here.