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      Analysis of crystal defects by scanning transmission electron microscopy (STEM) in a modern scanning electron microscope

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          Abstract

          Dislocations and stacking faults are important crystal defects, because they strongly influence material properties. As of now, transmission electron microscopy (TEM) is the most frequently used technique to study the properties of single dislocations and stacking faults. Specifically, the Burgers vector b of dislocations or displacement vector R of stacking faults can be determined on the basis of the g· b = n ( g· R = n) criterion by setting up different two-beam diffraction conditions with an imaging vector g. Based on the reciprocity theorem, scanning transmission electron microscopy (STEM) can also be applied for defect characterization, but has been less frequently used up to now. In this work, we demonstrate g· b = n ( g· R = n) analyses of dislocations and stacking faults in GaN by STEM imaging in a scanning electron microscope. The instrument is equipped with a STEM detector, double-tilt TEM specimen holder, and a charge-coupled-device camera for the acquisition of on-axis diffraction patterns. The latter two accessories are mandatory to control the specimen orientation, which has not been possible before in a scanning electron microscope.

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          III–nitrides: Growth, characterization, and properties

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            Defect structure of metal‐organic chemical vapor deposition‐grown epitaxial (0001) GaN/Al2O3

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              Investigations of dislocation strain fields using weak beams

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                Author and article information

                Contributors
                Journal
                Advanced Structural and Chemical Imaging
                Adv Struct Chem Imag
                Springer Science and Business Media LLC
                2198-0926
                December 2019
                March 09 2019
                December 2019
                : 5
                : 1
                Article
                10.1186/s40679-019-0065-1
                4c5d5864-de4a-4768-9330-53a48a4e9074
                © 2019

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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