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A Framework to Learn Physics from Atomically Resolved Images

Published online by Cambridge University Press:  04 August 2017

L. Vlcek
Affiliation:
Joint Institute for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge TN Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge TN
A. Maksov
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge TN Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge TN Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN
M. Pan
Affiliation:
School of Physics, Huazhong University of Science and Technology, Wuhan, China
S. Jesse
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge TN Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge TN
Sergei V. Kalinin
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge TN Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge TN
R.K. Vasudevan
Affiliation:
Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge TN Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge TN

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2017 

References

[1] Wootters, William K Physical Review D 23 1981). p. 357.Google Scholar
[2] Lin, W, et al, ACS Nano 7 2013). p. 2634.CrossRefGoogle Scholar
[3] This research was sponsored by the Division of Materials Sciences and Engineering, BES, DOE (RKV, SVK). This research was conducted at and partially supported (SJ) the Center for Nanophase Materials Sciences, which is a US DOE Office of Science User Facility.Google Scholar