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Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging

Author

Listed:
  • Ying Zhang

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Science and Technology of China
    University of Chinese Academy of Sciences)

  • Ge-Qi Mao

    (Huazhong University of Science and Technology)

  • Xiaolong Zhao

    (University of Science and Technology of China)

  • Yu Li

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences)

  • Meiyun Zhang

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Zuheng Wu

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Wei Wu

    (Huazhong University of Science and Technology)

  • Huajun Sun

    (Huazhong University of Science and Technology)

  • Yizhong Guo

    (Beijing University of Technology)

  • Lihua Wang

    (Beijing University of Technology)

  • Xumeng Zhang

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Fudan University)

  • Qi Liu

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Fudan University)

  • Hangbing Lv

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Kan-Hao Xue

    (Huazhong University of Science and Technology)

  • Guangwei Xu

    (University of Science and Technology of China)

  • Xiangshui Miao

    (Huazhong University of Science and Technology)

  • Shibing Long

    (University of Science and Technology of China)

  • Ming Liu

    (Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Fudan University)

Abstract

The resistive switching effect in memristors typically stems from the formation and rupture of localized conductive filament paths, and HfO2 has been accepted as one of the most promising resistive switching materials. However, the dynamic changes in the resistive switching process, including the composition and structure of conductive filaments, and especially the evolution of conductive filament surroundings, remain controversial in HfO2-based memristors. Here, the conductive filament system in the amorphous HfO2-based memristors with various top electrodes is revealed to be with a quasi-core-shell structure consisting of metallic hexagonal-Hf6O and its crystalline surroundings (monoclinic or tetragonal HfOx). The phase of the HfOx shell varies with the oxygen reservation capability of the top electrode. According to extensive high-resolution transmission electron microscopy observations and ab initio calculations, the phase transition of the conductive filament shell between monoclinic and tetragonal HfO2 is proposed to depend on the comprehensive effects of Joule heat from the conductive filament current and the concentration of oxygen vacancies. The quasi-core-shell conductive filament system with an intrinsic barrier, which prohibits conductive filament oxidation, ensures the extreme scalability of resistive switching memristors. This study renovates the understanding of the conductive filament evolution in HfO2-based memristors and provides potential inspirations to improve oxide memristors for nonvolatile storage-class memory applications.

Suggested Citation

  • Ying Zhang & Ge-Qi Mao & Xiaolong Zhao & Yu Li & Meiyun Zhang & Zuheng Wu & Wei Wu & Huajun Sun & Yizhong Guo & Lihua Wang & Xumeng Zhang & Qi Liu & Hangbing Lv & Kan-Hao Xue & Guangwei Xu & Xiangshui, 2021. "Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27575-z
    DOI: 10.1038/s41467-021-27575-z
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    References listed on IDEAS

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    1. Peng Yao & Huaqiang Wu & Bin Gao & Sukru Burc Eryilmaz & Xueyao Huang & Wenqiang Zhang & Qingtian Zhang & Ning Deng & Luping Shi & H.-S. Philip Wong & He Qian, 2017. "Face classification using electronic synapses," Nature Communications, Nature, vol. 8(1), pages 1-8, August.
    2. Peng Yao & Huaqiang Wu & Bin Gao & Jianshi Tang & Qingtian Zhang & Wenqiang Zhang & J. Joshua Yang & He Qian, 2020. "Fully hardware-implemented memristor convolutional neural network," Nature, Nature, vol. 577(7792), pages 641-646, January.
    3. Yuchao Yang & Peng Gao & Linze Li & Xiaoqing Pan & Stefan Tappertzhofen & ShinHyun Choi & Rainer Waser & Ilia Valov & Wei D. Lu, 2014. "Electrochemical dynamics of nanoscale metallic inclusions in dielectrics," Nature Communications, Nature, vol. 5(1), pages 1-9, September.
    4. Yuchao Yang & Xiaoxian Zhang & Liang Qin & Qibin Zeng & Xiaohui Qiu & Ru Huang, 2017. "Probing nanoscale oxygen ion motion in memristive systems," Nature Communications, Nature, vol. 8(1), pages 1-10, August.
    5. Wen Sun & Bin Gao & Miaofang Chi & Qiangfei Xia & J. Joshua Yang & He Qian & Huaqiang Wu, 2019. "Understanding memristive switching via in situ characterization and device modeling," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    6. Bethany M. Hudak & Sean W. Depner & Gregory R. Waetzig & Anjana Talapatra & Raymundo Arroyave & Sarbajit Banerjee & Beth S. Guiton, 2017. "Real-time atomistic observation of structural phase transformations in individual hafnia nanorods," Nature Communications, Nature, vol. 8(1), pages 1-9, August.
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