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Brain Mapping Using a Graphene Electrode Array
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Graphene mobility mapping.

Jonas D Buron1, Filippo Pizzocchero1, Peter U Jepsen2

  • 1DTU Nanotech - Department of Micro- and Nanotechnology, Technical University of Denmark, Building 345 Ørsteds Plads, 2800 Kgs. Lyngby, Denmark.

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|July 25, 2015
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Summary
This summary is machine-generated.

This study introduces a non-contact terahertz spectroscopy method to map carrier mobility and doping in graphene. This efficient technique reveals mobility variations, not doping, cause inhomogeneities in large-area graphene, crucial for electronics.

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Carrier mobility and chemical doping are critical for graphene's electronic applications.
  • Large-scale, non-destructive characterization is needed for graphene commercialization.
  • Current mapping techniques cannot directly assess these key parameters non-destructively.

Purpose of the Study:

  • To develop a non-contact method for mapping carrier mobility and doping in large-area graphene.
  • To investigate the spatial uniformity of these properties for electronic applications.
  • To understand the origins of conductance inhomogeneities in graphene.

Main Methods:

  • Utilized non-contact terahertz (THz) spectroscopic measurements of conductance.
  • Employed graphene samples with THz-transparent backgates.
  • Deconvoluted carrier mobility and density from THz conductance data.

Main Results:

  • Successfully mapped the spatial variation of carrier mobility and doping over large graphene areas.
  • Demonstrated a non-contact, efficient alternative to contacted device measurements.
  • Observed that mobility variations, not doping, are the primary cause of conductance inhomogeneities in chemical vapor deposition graphene.

Conclusions:

  • The developed THz spectroscopy method enables efficient, large-area characterization of graphene properties.
  • Findings highlight the importance of mobility uniformity for large-scale graphene applications.
  • Emphasizes the need for statistical approaches in assessing large-area graphene transport properties.