Automated stopping criterion for spectral measurements with active learning

Abstract The automated stopping of a spectral measurement with active learning is proposed. The optimal stopping of the measurement is realised with a stopping criterion based on the upper bound of the posterior average of the generalisation error of the Gaussian process regression. It is revealed t...

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Bibliographic Details
Main Authors: Tetsuro Ueno, Hideaki Ishibashi, Hideitsu Hino, Kanta Ono
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-021-00606-5