Automated quantification of morphology and chemistry from STEM data of individual nanoparticles

Wang, Y. C., Slater, T. J. A. ORCID: https://orcid.org/0000-0003-0372-1551, Rodrigues, T. S., Camargo, P. H. C. and Haigh, S. J. 2017. Automated quantification of morphology and chemistry from STEM data of individual nanoparticles. Journal of Physics: Conference Series 902 (1) , 012018. 10.1088/1742-6596/902/1/012018

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Abstract

Two novel automated methods for the determination of surface roughness and chemical distribution in individual nanoparticles are presented and applied to nanoparticles synthesised by the galvanic replacement reaction. The two methodologies apply the determination of circumferential and radial line profiles to determine surface roughness and elemental distribution respectively. The surface roughness analysis provides details on localised changes in roughness in comparison to single measures of circularity. The X-ray spectroscopic concentric ring scan outperforms conventional line scans when elemental distribution approximately possesses a spherical symmetry.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Chemistry
Additional Information:	Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence
Publisher:	IOP Publishing
ISBN:	17426596 17426588
ISSN:	1742-6588
Date of First Compliant Deposit:	11 April 2022
Last Modified:	17 May 2023 20:32
URI:	https://orca.cardiff.ac.uk/id/eprint/147172

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