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Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows
Post, March 10, 2022 • Elizabeth H. Krath, David S. Ching and Patrick J. Blonigan AIAA 2022-1249 This paper presents an investigation into sampling strategies for reducing the computational expense of creating error models for steady hypersonic flow surrogate models. The error model describes the quantity of interest error between a reduced-order model prediction and a full-order model...