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Bayesian Statistical Model for Imaging of Single La Vacancies in LaMnO3

Published online by Cambridge University Press:  04 August 2017

Jie Feng ,
Alexander V. Kvit ,
Chenyu Zhang ,
Dane Morgan  and
Paul M. Voyles
Jie Feng
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
Alexander V. Kvit
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
Chenyu Zhang
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
Dane Morgan
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
Paul M. Voyles
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 1572 - 1573
Copyright
© Microscopy Society of America 2017 

References

[1] Yankovich, A. B., et al Picometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts. Nat. Commun vol. 5, no. May 2014). p. 4155.CrossRefGoogle Scholar
[2] Feng, J., et al, Prospects for Detecting Single Vacancies by Quantitative Scanning Transmission Electron Microscopy vol. 21, no.942 2015). pp 1887.Google Scholar
[3] This work was supported by the US Department of Energy, Basic Energy Sciences, Grant DE-FG02-08ER46547.Google Scholar