Neural Surrogate

A machine-learning model (neural network) trained to approximate the output of a computationally expensive simulation. Given design parameters, the surrogate predicts results (stress, temperature, frequency) in milliseconds. Also called a metamodel or emulator.

Why it matters

Enables rapid design exploration. Instead of waiting 8 hours per FEA run, designers explore thousands of design variants per hour using the surrogate.

Related concepts

Cite this definition

Finocchiaro, Michael. “Neural Surrogate.” DemystifyingPLM PLM Glossary, 2026, https://www.demystifyingplm.com/glossary/neural-surrogate