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Assisting 4D-STEM Data Processing with Unsupervised Machine Learning

Published online by Cambridge University Press:  22 July 2022

Yimo Han ,
Chuqiao Shi ,
Michael Cao  and
Yi Jiang
Yimo Han*
Affiliation:
Department of Materials Science and NanoEngineering, Rice University, Houston, TX, United States
Chuqiao Shi
Affiliation:
Department of Materials Science and NanoEngineering, Rice University, Houston, TX, United States
Michael Cao
Affiliation:
Department of Materials Science and NanoEngineering, Rice University, Houston, TX, United States
Yi Jiang
Affiliation:
Advanced Photon Source, Argonne National Laboratory, Lemont, IL, United States
*
*Corresponding author: yh76@rice.edu

Abstract

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Type
Developments of 4D-STEM Imaging - Enabling New Materials Applications
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 414 - 417
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Copyright
Copyright © Microscopy Society of America 2022

References

Jiang, Y et al. , Nature 559 (2018), p. 343.CrossRefGoogle Scholar
Chen, Z et al. , Nature Communications 11 (2020), p. 1.Google Scholar
Chen, Z et al. , Science 372 (2021), p. 826.CrossRefGoogle Scholar
Han, Y et al. , Nano Letters 18 (2018), p. 3746.CrossRefGoogle Scholar
Tate, MW et al. , Microscopy and Microanalysis 22 (2016), p. 237.CrossRefGoogle Scholar
Philipp, HT et al. , arXiv preprint arXiv:2111.05889, (2021).Google Scholar
Shi, C et al. , arXiv preprint arXiv:2111.06496, (2021).Google Scholar
The authors acknowledge funding from the Welch Foundation (C-2065-20210327).Google Scholar