BIROn - Birkbeck Institutional Research Online

    Correlation between layer thickness and periodicity of long polytypes in silicon carbide

    Kelly, Jim and Fisher, G.R. and Barnes, Paul (2005) Correlation between layer thickness and periodicity of long polytypes in silicon carbide. Materials Research Bulletin 40 (2), pp. 249-255. ISSN 0025-5408.

    [img]
    Preview
    Text
    Binder1.pdf

    Download (285kB) | Preview

    Abstract

    The layer widths and repeat spacing of long-period polytypes (LPPs) have been determined using synchrotron radiation source (SRS) X-ray diffraction topography (XRDT). This method has proved to be a powerful tool in investigating the spatial extent of one-dimensional disorder (1DD), long-period polytypes (LPPs) and the boundaries of polytype layers in silicon carbide (SiC). The resulting neighbourhood coalescence models have confirmed the validity of the sandwich rule even in the limit of two arbitrarily long LPPs, as well as the unique nature of the 6H polytype. A significant empirical trend is reported here that relates the thickness of LPP layers to the periodicity of the repeat stacking sequence measured on the topographs. A good correlation between the data suggests that this behaviour is governed by a simple mathematical expression t = kNn. Values for k and n have been determined that relate the polytype thickness (t in microns) to the number of hexagonal layers (N) in the polytype stacking repeat. These values can be used to prompt questions about the limits of polytypism and disorder in SiC.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): semiconductors, crystal growth, X-ray diffraction
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences
    Depositing User: Sandra Plummer
    Date Deposited: 28 Mar 2006
    Last Modified: 02 Aug 2023 16:46
    URI: https://eprints.bbk.ac.uk/id/eprint/344

    Statistics

    Activity Overview
    6 month trend
    1,026Downloads
    6 month trend
    414Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item