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Exploring Local Physics and Structural Behaviors with Automated Experiment In 4D-STEM

Published online by Cambridge University Press:  22 July 2022

Kevin M. Roccapriore ,
Ondrej Dyck ,
Mark P. Oxley ,
Maxim Ziatdinov  and
Sergei V. Kalinin
Kevin M. Roccapriore
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Ondrej Dyck
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Mark P. Oxley
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Maxim Ziatdinov
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Sergei V. Kalinin
Affiliation:
Department of Materials Science and Engineering, University of Tennessee, Knoxville TN, USA

Abstract

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Type
On Demand - Microscopy Infrastructures: Architectures, Avenues And Access
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 2944 - 2946
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Copyright
Copyright © Microscopy Society of America 2022

References

Wilson, A. G. et al. , Artificial Intelligence and Statistics 2016, 370–378.Google Scholar
Roccapriore, K. M. et al. , arXiv 2021 2108.03290CrossRefGoogle Scholar
Roccapriore, K. M. et al. , arXiv 2021 2112.04479Google Scholar
This effort was based upon work supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), Materials Sciences and Engineering Division (K.M.R., M.O., O.D., S.V.K.). Work was partially supported (MZ) and conducted using resources supported by Oak Ridge National Laboratory's Center for Nanophase Materials Sciences (CNMS), which is a U.S. DOE Office of Science User Facility.Google Scholar