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