Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-25T15:04:29.266Z Has data issue: false hasContentIssue false

Quantification of Low Voltage Images of 2-dimensional Materials in Aberration Corrected Scanning Transmission Electron Microscopy.

Published online by Cambridge University Press:  04 August 2017

Mark P. Oxley
Affiliation:
Oak Ridge National Laboratory, Materials Science and Technology Division, Oak Ridge TN, USA.
Nicholas G. Cross
Affiliation:
University of Tennessee, Materials Science and Engineering, Knoxville TN, USA.
Gerd Duscher
Affiliation:
University of Tennessee, Materials Science and Engineering, Knoxville TN, USA.
Leslie J. Allen
Affiliation:
University of Melbourne, School of Physics, Parkville Victoria, Australia.
Matthew F. Chisholm
Affiliation:
Oak Ridge National Laboratory, Materials Science and Technology Division, Oak Ridge TN, USA.

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 2017 

References

[1] LeBeau, J. M., et al, Physical Review Letters 100 2008 206101.CrossRefGoogle Scholar
[2] Krivanek, O. L., et al, Nature 462 2010). p. 1342.Google Scholar
[3] Zhou, W., et al, Microscopy and Microanalysis 18 2012). p. 342.Google Scholar
[4] Lowekamp, B. C., et al, Frontiers in Neuroinformatics 7 2013). p. 45.Google Scholar
[5] This research was supported by the US Department of Energy, Office of Basic Energy Sciences, Materials Sciences and Engineering Division. N.C. and G.D. acknowledge support from the National Science Foundation (NSF) under Grant No. DMR-1410940.Google Scholar