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MOESM1 of Identifying local structural states in atomic imaging by computer vision

This paper is available in a repository.
This paper is available in a repository.

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Abstract

Additional file 1: Figure S1. Detected Keypoints from all atomic columns present in the simulated. STEM of a SrTiO3/BaTiO3. In the main text, only Sr, Ti, and Ba columns are included to simplify the analysis of noise dependency and classification. The addition of detected oxygen columns shown above does not modify the results in the main text. Figure S2. Silhouette Coefficient Analysis of the Classification is shown here for the simulated STEM image of a bulk SrTiO3 lattice. Top is a plot of the silhouette coefficient with different number of clusters. Bottom are the 4 structural classes (Sr, Ti, O1, O2).