Uncovering polar vortex structures by inversion of multiple scattering with a stacked Bloch wave model.
4D-STEM
Electron diffraction
Nanobeam electron diffraction
Scanning transmission electron microscopy
Journal
Ultramicroscopy
ISSN: 1879-2723
Titre abrégé: Ultramicroscopy
Pays: Netherlands
ID NLM: 7513702
Informations de publication
Date de publication:
Aug 2023
Aug 2023
Historique:
received:
10
11
2022
revised:
21
03
2023
accepted:
03
04
2023
medline:
24
4
2023
pubmed:
24
4
2023
entrez:
23
04
2023
Statut:
ppublish
Résumé
Nanobeam electron diffraction can probe local structural properties of complex crystalline materials including phase, orientation, tilt, strain, and polarization. Ideally, each diffraction pattern from a projected area of a few unit cells would produce a clear Bragg diffraction pattern, where the reciprocal lattice vectors can be measured from the spacing of the diffracted spots, and the spot intensities are equal to the square of the structure factor amplitudes. However, many samples are too thick for this simple interpretation of their diffraction patterns, as multiple scattering of the electron beam can produce a highly nonlinear relationship between the spot intensities and the underlying structure. Here, we develop a stacked Bloch wave method to model the diffracted intensities from thick samples with structure that varies along the electron beam. Our method reduces the large parameter space of electron scattering to just a few structural variables per probe position, making it fast enough to apply to very large fields of view. We apply our method to SrTiO
Identifiants
pubmed: 37087909
pii: S0304-3991(23)00049-9
doi: 10.1016/j.ultramic.2023.113732
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
113732Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.