Laser Scanning Microscopy of Few-Layer Graphene: Optical Reflectivity Contrast

ORAL

Abstract

We report laser scanning microscopy (LSM) of few-layer graphene, where a laser beam is raster scanned over the samples and the local reflectivity of the structure is directly measured through a silicon photodiode. The samples are grown by ambient-pressure chemical vapor deposition on copper foils, and transferred to SiO2/Si substrates, and consist of regions of single- and multi-layer graphene (D. R. Lenski, and M. S. Fuhrer, e-print arXiv: 1011.1683). While the local reflectivity of the structure depends on the thickness of the graphene layer, the LSM data is used to construct a two-dimensional reflectivity image of the sample which, in turn, enables identifying the local distribution of different graphene multilayers and local microscopic properties of the graphene sample.

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Authors

  • Behnood Ghamsari

    Center for Nanophysics and Advanced Materials, University of Maryland, College Park

  • A.P. Zhuravel

    B. Verkin Institute for Low Temperature Physics \& Engineering, NAS of Ukraine, National Academy of Sciences of Ukraine

  • Daniel Lenski

    Intel Corporation, 5200 NE Elam Young Parkway, Hillsboro, OR 97124

  • Michael Fuhrer

    University of Maryland, Center for Nanophysics and Advanced Materials, University of Maryland, College Park, MD 20742-4111, USA, Center for Nanophysics and Advanced Materials, University of Maryland, College Park, Center for Nanophysics and Advanced Materials, Univesity of Maryland, Materials Research Science and Engineering Center and Center for Nanophysics and Advanced Materials, Department of Physics, University of Maryland, Dept. of Physics, Materials Research Science and Engineering Center and Center for Nanophysics and Advanced Materials, Univ. of Maryland, College Park

  • S.M. Anlage

    Center for Nanophysics and Advanced Materials, University of Maryland, College Park, MD 20742-4111, USA, Center for Nanophysics and Advanced Materials, University of Maryland, College Park, University of Maryland