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DOE OSTI · 2335729

Utilizing Bayesian Optimization for Efficient Dispersion Curve Feature Acquisition [Slides]

Day, Amber Joule·Williamson, Sinead A.·Klein, Natalie Elizabeth
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Abstract

Locate features and densely sample near those features. This helps us calculate T 1 which is the magnitude of the deviation from the otherwise smooth monotonically increasing function. Get a generally good idea of the rest of the curve. Potentially incorporate the higher cost of sampling at higher frequencies and the fact that the features at higher frequencies are more valuable to identify. Create a useful physics informed mean function.

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Day, Amber Joule, Williamson, Sinead A., Klein, Natalie Elizabeth. 2024-04-02. Utilizing Bayesian Optimization for Efficient Dispersion Curve Feature Acquisition [Slides]. https://doi.org/10.2172/2335729

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