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STEM in 4 Dimensions: Using Multivariate Analysis of Ptychographic Data to Reveal Material Functionality

Published online by Cambridge University Press:  23 September 2015

Christopher T. Symons
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN 37831 Computational Sciences & Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
Eirik Endeve
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN 37831 Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
Richard K. Archibald
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN 37831 Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831
Sergei V. Kalinin
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN 37831 Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831
Andrew R. Lupini
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN 37831 Materials Science & Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831

Abstract

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Type
Abstract
Copyright
Copyright © Microscopy Society of America 2015 

References

References:

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[5] The authors would like to acknowledge Liang Jin and Benjamin Bammes for their assistance in allowing us to use the DE-12 system. <underline>http://www.directelectron.com/</underline>.http://www.directelectron.com/.>Google Scholar
[6] Research supported by: Oak Ridge National Laboratory's Center for Nanophase Materials Sciences (CNMS), which is sponsored by the Scientific User Facilities Division, Office of Basic Energy Sciences, U.S. Department of Energy, by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy, and by Division of Materials Sciences and Engineering Division, Office of Basic Energy Sciences, U.S. DOE. This study used the resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, and analysis under support of applied mathematics program at the DOE..Google Scholar