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Machine Learning for Phase Retrieval from 4D-STEM Data

Published online by Cambridge University Press:  28 July 2020

Michael Cao ,
Michael Matty ,
Zhen Chen ,
Li Li ,
Eun-Ah Kim  and
David Muller
Michael Cao
Affiliation:
Cornell University, Ithaca, New York, United States
Michael Matty
Affiliation:
Cornell University, Ithaca, New York, United States
Zhen Chen
Affiliation:
Cornell University, Ithaca, New York, United States
Li Li
Affiliation:
Google Research, Mountain View, California, United States
Eun-Ah Kim
Affiliation:
Cornell University, Ithaca, New York, United States
David Muller
Affiliation:
Cornell University, Ithaca, New York, United States

Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 8 - 9
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Copyright
Copyright © Microscopy Society of America 2020

References

Tate, M. W. et al. , Microscopy and Microanalysis 22 (2016), p. 237–249.10.1017/S1431927615015664CrossRefGoogle Scholar
Jiang, Y., Y., et al. , Nature 559, (2018), 343–349.10.1038/s41586-018-0298-5CrossRefGoogle Scholar
This work is supported by the NSF (Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials (PARADIM)) under Cooperative Agreement No. DMR-1539918 and DOE DE-SC0018946, with facilities support from the Cornell Center for Materials Research, an NSF MRSEC (DMR-1719875).Google Scholar