Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-24T11:25:11.734Z Has data issue: false hasContentIssue false

Quantification of Structural Correlation in STEM Images using the Projected Pair Distribution Function

Published online by Cambridge University Press:  01 August 2018

Matthew J. Cabral
Affiliation:
Department of Materials Science & Engineering, North Carolina State University, Raleigh, NC
Elizabeth C. Dickey
Affiliation:
Department of Materials Science & Engineering, North Carolina State University, Raleigh, NC
James M. LeBeau
Affiliation:
Department of Materials Science & Engineering, North Carolina State University, Raleigh, NC

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Copyright
© Microscopy Society of America 2018 

References

[1] Sang, X., et al, Appl. Phys. Lett. 106(6 2015.Google Scholar
[2] Sang, X., Oni, A. A. LeBeau, J. M. Microsc. Microanal 20 2014) p. 1764.Google Scholar
[3] Dycus, J. H., et al, Microsc. Microanal (July 2015) p. 1.Google Scholar
[4] This material is based upon work supported by the National Science Foundation, as part of the Center for Dielectrics and Piezoelectrics under Grant Nos. IIP-1361571 and IIP-1361503. The authors acknowledge the use of the Analytical Instrumentation Facility at NCSU, which is supported by the state of North Carolina and the National Science Foundation. M.J.C acknowledges support from the National Science Foundation, as part of NRT-SEAS under Grant No, DGE-1633587.Google Scholar