Developing and deploying reduced order models
Watch and learn how to combine physics and AI for faster, smarter simulation workflows.
In this exclusive roundtable, Digital Engineering 24/7 and COMSOL explore how AI-derived reduced order models (ROMs), also known as surrogate models, are transforming engineering workflows.
By leveraging trained models to approximate complex physical behavior, engineers can bypass time-consuming, compute-intensive physics solvers and dramatically accelerate simulation cycles.
In this roundtable, Kenneth Wong and Danilo Di Stefano - modeFRONTIER Product Manager discuss:
- how physics-based simulations and ROMs complement and strengthen each other,
- why relying on only one approach can limit your results,
- what you need to develop and deploy your first ROM successfully.
Watch the discussion and discover how to combine physics and AI for faster, smarter simulation workflows.