Bracketing Inference with Uncertainty Quantification: A Reliability Pipeline for Neural Aerodynamic Surrogates | Research Square
Data-driven surrogates for computational fluid dynamics (CFD) offer dramatic acceleration of the automotive design cycle, but their adoption requires assessing when a prediction can be trusted. As surrogate accuracy on public benchmarks approaches saturation, the barrier to deployment shifts from...
Data-driven surrogates for computational fluid dynamics (CFD) offer dramatic acceleration of the automotive design cycle, but their adoption requires assessing when a prediction can be trusted. As surrogate accuracy on public benchmarks approaches saturation, the barrier to deployment shifts from performance to reliability: a trained model never refuses to predict, and silent extrapolation on novel geometries poses a direct risk to engineering decisions. This study proposes a two-stage reliability pipeline that brackets inference with uncertainty quantification (UQ): a pre-inference…
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