Micrometre-scale strain mapping of transistor arrays extracted from undersampled atomic-resolution images.

Aliasing Geometric phase analysis Moiré Sampling theory Scanning transmission electron microscopy Strain measurements Transistor

Journal

Micron (Oxford, England : 1993)
ISSN: 1878-4291
Titre abrégé: Micron
Pays: England
ID NLM: 9312850

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 25 01 2021
revised: 17 05 2021
accepted: 03 06 2021
pubmed: 19 6 2021
medline: 19 6 2021
entrez: 18 6 2021
Statut: ppublish

Résumé

Strain maps extracted from atomic resolution images have the ultimate spatial resolution, but have a field of view limited by the sampling necessary to resolve atomic lattices. This has typically confined strain maps to dimensions less than ∼100 nanometers. To extend the field of view beyond this limit, we apply a modified geometric phase analysis to undersampled images of atomic lattices (i.e. with a pixel size too large to resolve atomic lattices). To reduce the effects of environmental and instrumental instabilities, the images were obtained by aligning series of rapid annular dark field scanning transmission electron microscopy acquisitions. We demonstrate that for undersampled images, a geometric phase analysis can still be performed on aliased frequencies and, as long as the appropriate scaling matrix is applied, provide accurate atomic displacement measurements at large scale. Experimental challenges related to the increased effects of scanning errors as the magnification is lowered are examined. Although such errors are found to significantly reduce geometric phase signals, it was still possible to produce strain maps for arrays of up to sixteen 20nm-technology transistors, corresponding to a field of view exceeding one micrometer.

Identifiants

pubmed: 34144297
pii: S0968-4328(21)00091-3
doi: 10.1016/j.micron.2021.103100
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103100

Informations de copyright

Crown Copyright © 2021. Published by Elsevier Ltd. All rights reserved.

Auteurs

Martin Couillard (M)

National Research Council Canada, Energy, Mining and Environment Research Centre, 1200 Montreal Road, Ottawa, ON, K1A OR6, Canada. Electronic address: martin.couillard@nrc.ca.

Classifications MeSH