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DOE OSTI · 2573309

Deriving Material Properties from Feedback Error Signals in Scanning Tunneling Microscopy

Abstract

Imperfections in measurements, e.g., deviations and broadening, are not devoid of information; rather, they can reveal valuable physical properties and processes. Scanning tunneling microscopy leverages a negative feedback loop to regulate the tunneling current. Practically, current fluctuates around its set point, and such deviations are considered insignificant and ignored. Here, in this study, we investigate the information embedded in these deviations. In the constant-current mode with an active feedback loop, we observe an unexpected persistent DC current offset from its set point when the tunneling junction is periodically perturbed. We demonstrate both experimentally and theoretically that such error signals encode local tunneling barrier heights and the square of local differential conductance as a consequence of the interplay between rectification and active feedback compensation. We provide evidence on the generalizability of this phenomenology to other negative feedback systems. This new approach has the potential to broadly impact physical sciences by allowing rapid measurements without lock-in amplifiers.

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BibTeXRIS

Sharma, Nileema [University of Notre Dame, IN (United States)], McKenzie, James [University of Notre Dame, IN (United States)], Toole, Matthew [University of Notre Dame, IN (United States)], Ortiz, Brenden R. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); University of California, Santa Barbara, CA (United States)] (ORCID:0000000213337003), Salinas, Andrea Capa [University of California, Santa Barbara, CA (United States)], Wilson, Stephen D. [University of California, Santa Barbara, CA (United States)], Liu, Xiaolong [University of Notre Dame, IN (United States)] (ORCID:0000000261865257). 2025-02-12. Deriving Material Properties from Feedback Error Signals in Scanning Tunneling Microscopy. https://doi.org/10.1021/acs.nanolett.4c06404

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36 MATERIALS SCIENCE↗