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Imaging atomic-scale chemistry from fused multi-modal electron microscopy

Authors :
Jonathan Schwartz
Zichao Wendy Di
Yi Jiang
Alyssa J. Fielitz
Don-Hyung Ha
Sanjaya D. Perera
Ismail El Baggari
Richard D. Robinson
Jeffrey A. Fessler
Colin Ophus
Steve Rozeveld
Robert Hovden
Source :
npj Computational Materials, Vol 8, Iss 1, Pp 1-8 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electron microscopy offers high signal-to-noise ratio (SNR) recovery of material chemistry at nano- and atomic-resolution by coupling correlated information encoded within both elastic scattering (high-angle annular dark-field (HAADF)) and inelastic spectroscopic signals (electron energy loss (EELS) or energy-dispersive x-ray (EDX)). By linking these simultaneously acquired signals, or modalities, the chemical distribution within nanomaterials can be imaged at significantly lower doses with existing detector hardware. In many cases, the dose requirements can be reduced by over one order of magnitude. This high SNR recovery of chemistry is tested against simulated and experimental atomic resolution data of heterogeneous nanomaterials.

Details

Language :
English
ISSN :
20573960
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Computational Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.f61540dcd0145a1870da11d5eb72d7f
Document Type :
article
Full Text :
https://doi.org/10.1038/s41524-021-00692-5