Welcome to Part 1 of our ROM Series! In this video, we introduce the fundamentals of machine learning for reduced-order models (ROMs) — simplified models that capture the essential behavior of complex systems with significantly lower computational cost. Learn how ML techniques are revolutionizing ROM development, enabling faster simulations and real-time predictions across engineering and scientific domains. Whether you’re a researcher, student, or industry professional, this series will guide you through the cutting-edge intersection of ML and ROMs.
I acknowledge Scott Dawson for his input on this material.