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Autor(en) / Beteiligte
Titel
High throughput scanning μLEED imaging of surface structural heterogeneity: Defective graphene on Cu(111)
Ist Teil von
  • Ultramicroscopy, 2019-05, Vol.200, p.67-72
Ort / Verlag
Netherlands: Elsevier B.V
Erscheinungsjahr
2019
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •Scanning μLEED measurements performed with a very small electron beam (250 nm) can provide precise quantitative information about structural variations with high spatial resolution.•We have developed the source extraction and photometry-spot profile analysis tool for quantitative evaluation of scanning μLEED data with high throughput.•The application of this tool to evaluate scanning μLEED data obtained for defective graphene on Cu(111) reveals a rich rotational domain structure. Micro-low energy electron diffraction (μLEED) is frequently used in conjunction with low energy electron microscopy (LEEM) to learn about local surface structural features in small selected areas. Scanning μLEED measurements performed with a very small electron beam (250 nm) can provide precise quantitative information about structural variations with high spatial resolution. We have developed the Source Extraction and Photometry (SEP) – Spot Profile Analysis (SPA) tool for evaluating scanning μLEED data with high throughput. The capability to automate diffraction peak identification with SEP-SPA opens up the possibility to investigate systems with complex diffraction patterns in which diffraction peak positions vary rapidly for small lateral displacements on the surface. The application of this tool to evaluate scanning μLEED data obtained for defective graphene on Cu(111) demonstrates its capabilities. A rich rotational domain structure is observed in which a majority of the graphene is co-aligned with the Cu(111) substrate and the significant remainder comprises domains with large rotations and small sizes that are comparable to the small beam size.
Sprache
Englisch
Identifikatoren
ISSN: 0304-3991
eISSN: 1879-2723
DOI: 10.1016/j.ultramic.2019.02.015
Titel-ID: cdi_proquest_miscellaneous_2187955359

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