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In-situ electron microscopy study of non-volatile resistive switching in Mott insulator VO2

Published online by Cambridge University Press:  30 July 2021

Shaobo Cheng ,
Min-Han Lee ,
Xing Li ,
Lorenzo Fratino ,
Marcelo Rozenberg ,
Ivan Schuller  and
Yimei Zhu
Shaobo Cheng
Affiliation:
Department of Condensed Matter Physics and Materials Science, Brookhaven National Laboratory, Upton, NY, USA, upton, New York, United States
Min-Han Lee
Affiliation:
University of California-San Diego, United States
Xing Li
Affiliation:
Key Laboratory of Material Physics, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, Henan, P. R. China, United States
Lorenzo Fratino
Affiliation:
Laboratoire de Physique des Solides, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France, United States
Marcelo Rozenberg
Affiliation:
Laboratoire de Physique des Solides, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France, United States
Ivan Schuller
Affiliation:
Materials Science and Engineering Program, University of California-San Diego, La Jolla, CA, USA, United States
Yimei Zhu
Affiliation:
Department of Condensed Matter Physics and Materials Science, Brookhaven National Laboratory, Upton, NY, USA, United States

Abstract

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Type
Investigating Phase Transitions in Functional Materials and Devices by In Situ/Operando TEM
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 2162 - 2164
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Sun, W. et al. , Nature Communications 10 (2019) 3453CrossRefGoogle Scholar
Cheng, S., et al. , Advanced Electronic Materials, 5 (2019) 1800827Google Scholar
Kwon, D.-H. et al. , Nature Nanotechnology 5 (2010) 148-153CrossRefGoogle Scholar
Valle, J. D., Ramírez, J. G., Rozenberg, M. J. & Schuller, I. K., Journal of Applied Physics. 124 (2018) 211101CrossRefGoogle Scholar
Valle, J. D. et al. , Nature, 569 (2019) 388-392Google Scholar
Cheng, S., et al. , Proceedings of the National Academy of Sciences of the United States of America, 118 (2021) e2013676118Google Scholar
This work is supported by the Quantum Materials for Energy Efficient Neuromorphic Computing, an Energy Frontier Research Center funded by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under Grant No. DE-SC0019273. Electron microscopy work at BNL was supported by the U.S. Department of Energy, Office of Basic Energy Science, Division of Materials Science and Engineering, under Contract No. DE-SC0012704.Google Scholar