ORCID: https://orcid.org/0000-0002-2588-7993; Barthel, Juri
ORCID: https://orcid.org/0000-0003-3914-4346; MacArthur, Katherine E.; Gauquelin, Nicolas; Lipinska-Chwalek, Marta; Verbeeck, Johan; Allen, Leslie J. und Dunin-Borkowski, Rafal E.
(2024):
Automated detection and mapping of crystal tilt using thermal diffuse scattering in transmission electron microscopy.
In: Ultramicroscopy, Bd. 267, 114050
[PDF, 3MB]
Abstract
Quantitative interpretation of transmission electron microscopy (TEM) data of crystalline specimens often requires the accurate knowledge of the local crystal orientation. A method is presented which exploits momentum-resolved scanning TEM (STEM) data to determine the local mistilt from a major zone axis. It is based on a geometric analysis of Kikuchi bands within a single diffraction pattern, yielding the center of the Laue circle. Whereas the approach is not limited to convergent illumination, it is here developed using unit-cell averaged diffraction patterns corresponding to high-resolution STEM settings. In simulation studies, an accuracy of approximately 0.1 mrad is found. The method is implemented in automated software and applied to crystallographic tilt and in-plane rotation mapping in two experimental cases. In particular, orientation maps of high-Mn steel and an epitaxially grown La Sr MnO -SrTiO interface are presented. The results confirm the estimates of the simulation study and indicate that tilt mapping can be performed consistently over a wide field of view with diameters well above 100 nm at unit cell real space sampling.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Chemie und Pharmazie > Department Chemie |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 540 Chemie |
URN: | urn:nbn:de:bvb:19-epub-125389-3 |
ISSN: | 03043991 |
Sprache: | Englisch |
Dokumenten ID: | 125389 |
Datum der Veröffentlichung auf Open Access LMU: | 16. Mai 2025 11:34 |
Letzte Änderungen: | 16. Mai 2025 11:34 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390776260 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 29898171 |