Fig. 1: Overview of machine-driven hyperspectral STS mapping. | npj Computational Materials

Fig. 1: Overview of machine-driven hyperspectral STS mapping.

From: Autonomous scanning probe microscopy investigations over WS2 and Au{111}

Fig. 1

The general workflow of the autonomous experiment performed with a scanning tunneling microscope. The data presented focuses on directing an ultra-sharp metal probe across a given area for point STS acquisition, where both filled and empty states of the sample are examined. After a completed experiment, hyperspectral volume is output from the software and a myriad of substrate and defect classes can be identified, with a trained model, and provided without cognitive bias. The method enables an optimized CITS measurement with predictive capability that was previously inaccessible due to time and tool constraints.

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