Multifrequency spectrum analysis using fully digital G Mode-Kelvin probe force microscopy

Liam Collins, Alex Belianinov, Suhas Somnath, Brian J. Rodriguez, Nina Balke, Sergei V. Kalinin, Stephen Jesse

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Since its inception over two decades ago, Kelvin probe force microscopy (KPFM) has become the standard technique for characterizing electrostatic, electrochemical and electronic properties at the nanoscale. In this work, we present a purely digital, software-based approach to KPFM utilizing big data acquisition and analysis methods. General mode (G-Mode) KPFM works by capturing the entire photodetector data stream, typically at the sampling rate limit, followed by subsequent de-noising, analysis and compression of the cantilever response. We demonstrate that the G-Mode approach allows simultaneous multi-harmonic detection, combined with on-the-fly transfer function correction - required for quantitative CPD mapping. The KPFM approach outlined in this work significantly simplifies the technique by avoiding cumbersome instrumentation optimization steps (i.e. lock in parameters, feedback gains etc), while also retaining the flexibility to be implemented on any atomic force microscopy platform. We demonstrate the added advantages of G-Mode KPFM by allowing simultaneous mapping of CPD and capacitance gradient (C′) channels as well as increased flexibility in data exploration across frequency, time, space, and noise domains. G-Mode KPFM is particularly suitable for characterizing voltage sensitive materials or for operation in conductive electrolytes, and will be useful for probing electrodynamics in photovoltaics, liquids and ionic conductors.

Original languageEnglish
Article number105706
JournalNanotechnology
Volume27
Issue number10
DOIs
StatePublished - Feb 11 2016

Funding

This research was conducted at the Center for Nanophase Materials Sciences, which is sponsored at Oak Ridge National Laboratory by the Scientific User Facilities Division, Office of Basic Energy Sciences, US DOE Support was provided by the US DOE, Basic Energy Sciences, Materials Sciences and Engineering Division through the Office of Science Early Career Research Program (NB).

FundersFunder number
Scientific User Facilities Division
U.S. Department of Energy
Office of Science
Basic Energy Sciences
Oak Ridge National Laboratory
Division of Materials Sciences and Engineering

    Keywords

    • Kelvin probe force microscopy
    • big data
    • contact potential difference
    • dual harmonic KPFM
    • multivariate statistical analysis

    Fingerprint

    Dive into the research topics of 'Multifrequency spectrum analysis using fully digital G Mode-Kelvin probe force microscopy'. Together they form a unique fingerprint.

    Cite this