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USID and Pycroscopy – Open Source Frameworks for Storing and Analyzing Imaging and Spectroscopy Data

Published online by Cambridge University Press:  05 August 2019

Suhas Somnath ,
Chris R. Smith ,
Nouamane Laanait ,
Rama K. Vasudevan  and
Stephen Jesse
Suhas Somnath
Affiliation:
National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA. The Institute of Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Chris R. Smith
Affiliation:
The Institute of Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA. The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Nouamane Laanait
Affiliation:
Computational Chemical and Materials Sciences, Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Rama K. Vasudevan
Affiliation:
The Institute of Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA. The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Stephen Jesse
Affiliation:
The Institute of Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA. The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA.

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 220 - 221
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Kalinin, SV et al. , ACS Nano (2016), p. 9068.Google Scholar
[2]Klimentov, A et al. , presented at the Journal of Physics: Conference Series (2015) (unpublished).Google Scholar
[3]Kalinin, SV et al. , Nat Mater 14 (2015), p. 973.Google Scholar
[4]This research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE AC05 00R22725. Notice of Copyright This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).Google Scholar