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Decoding defect ordering from ADF-STEM images of van der Waals CrGa2Te7 ferromagnetic crystals using the unsupervised machine learning algorithm

Published online by Cambridge University Press:  30 July 2021

Leixin Miao ,
Yingdong Guan ,
Jinliang Ning ,
Weiwei Xie ,
Jianwei Sun ,
Zhiqiang Mao  and
Nasim Alem
Leixin Miao
Affiliation:
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania, United States
Yingdong Guan
Affiliation:
Department of Physics, Pennsylvania State University, United States
Jinliang Ning
Affiliation:
Department of Physics and Engineering Physics, Tulane University, United States
Weiwei Xie
Affiliation:
Department of Chemistry and Chemical Biology, Rutgers University, United States
Jianwei Sun
Affiliation:
Department of Physics & Engineering Physics, Tulane University, United States
Zhiqiang Mao
Affiliation:
Department of Physics, Pennsylvania State University, United States
Nasim Alem
Affiliation:
Pennsylvania State University, United States

Abstract

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Type
Quantum Materials Probed by High Spatial and Energy Resolution in Scanning/Transmission Electron Microscopy
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 710 - 711
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

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L.M. and N.A.'s work supported by the Penn State Center for Nanoscale Sciences, an NSF MRSEC under the grant number DMR-140620.Google Scholar