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Integrating Machine Learning with Liquid-Phase TEM Imaging to Study Nanoscale Crystallization and Macromolecular Heterogeneity

Published online by Cambridge University Press:  03 December 2021

Chang Qian ,
Lehan Yao ,
Chang Liu ,
John W. Smith  and
Qian Chen
Chang Qian
Affiliation:
Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign.
Lehan Yao
Affiliation:
Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign.
Chang Liu
Affiliation:
Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign.
John W. Smith
Affiliation:
Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign.
Qian Chen
Affiliation:
Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign.

Abstract

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Type
Nucleation, Growth and Self-Assembling of Nanomaterials
Information
Microscopy and Microanalysis , Volume 27 , Supplement S2: Proceedings of CISCEM 2021 - the 5th Conference on In-Situ and Correlative Electron Microscopy , November 2021 , pp. 37 - 38
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

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Yao, L et al. , ACS Cent. Sci. 6 (2020), p. 1421.Google Scholar
Ou, Z et al. , Nat. Mater. 19 (2020), p. 450.10.1038/s41563-019-0514-1CrossRefGoogle Scholar
Ou, Z et al. , Nat. Commun. 11 (2020), p. 4555.Google Scholar
Liu, C et al. , J. Am. Chem. Soc. 142 (2020), p. 11669.Google Scholar
The authors acknowledge support from the National Science Foundation under grant no. 1752517.Google Scholar