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A technical article from Semiconductor Engineering, based on four crash studies, explains that training-data volume and model accuracy are more closely linked to the smoothness of the physical response than to the number of design variables or model size. It proposes using learning curves, error bounds, and variable importance to reduce costly simulation experiments.