FREE WEBINAR Feb. 19: The Catch-22 of Reduced Order Models

DATE: February 19, 2026
TIME: 03:00 PM EST/ Noon PST

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 - the more the better.

In this LIVE roundtable, panelists discuss:

• How physics-based simulation and ROMs augment each other;
• Why working solely with one is not a good strategy;
• What you need to develop your first ROM.

You can register here.

Sponsored By:

Speakers:

Bjorn Sjodin
Senior vice president of product management, COMSOL®

Danilo Di Stefano
modeFRONTIER Product Manager, ESTECO

Moderator: Kenneth Wong
Senior Editor, Digital Engineering