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Kalman Filter Based Estimation of Surface Conductivity in STM

  • Richa Mishra
  • , Nastaran Nikooienejad
  • , S. O. Reza Moheimani*
  • , Ian R. Petersen
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

    3 Citations (Scopus)

    Abstract

    In scanning tunneling microscopy (STM), the surface conductivity, σ, contributes to the total tunneling current due to a quantum phenomenon. The surface conductivity may change from atom to atom during a scan. It is an important electronic property of the surface that cannot be directly measured with current spectroscopy methods. In this paper, we propose an offline estimation method based on augmented state Kalman filter to determine σ. We demonstrate the successful application of this method to a set of STM images obtained from a Si (100)-2× 1:H passivated surface.

    Original languageEnglish
    Title of host publication2022 IEEE Conference on Control Technology and Applications, CCTA 2022
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages950-955
    Number of pages6
    ISBN (Electronic)9781665473385
    DOIs
    Publication statusPublished - 2022
    Event2022 IEEE Conference on Control Technology and Applications, CCTA 2022 - Trieste, Italy
    Duration: 23 Aug 2022 → 25 Aug 2022

    Publication series

    Name2022 IEEE Conference on Control Technology and Applications, CCTA 2022

    Conference

    Conference2022 IEEE Conference on Control Technology and Applications, CCTA 2022
    Country/TerritoryItaly
    CityTrieste
    Period23/08/22 → 25/08/22

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