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Probing nanoscale oxygen ion motion in memristive systems

Author

Listed:
  • Yuchao Yang

    (Key Laboratory of Microelectronic Devices and Circuits (MOE), Institute of Microelectronics, Peking University)

  • Xiaoxian Zhang

    (CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology
    CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology)

  • Liang Qin

    (CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology
    CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
    Academy of Advanced Interdisciplinary Studies, Peking University)

  • Qibin Zeng

    (CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology
    CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology)

  • Xiaohui Qiu

    (CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology
    CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology)

  • Ru Huang

    (Key Laboratory of Microelectronic Devices and Circuits (MOE), Institute of Microelectronics, Peking University)

Abstract

Ion transport is an essential process for various applications including energy storage, sensing, display, memory and so on, however direct visualization of oxygen ion motion has been a challenging task, which lies in the fact that the normally used electron microscopy imaging mainly focuses on the mass attribute of ions. The lack of appropriate understandings and analytic approaches on oxygen ion motion has caused significant difficulties in disclosing the mechanism of oxides-based memristors. Here we show evidence of oxygen ion migration and accumulation in HfO2 by in situ measurements of electrostatic force gradient between the probe and the sample, as systematically verified by the charge duration, oxygen gas eruption and controlled studies utilizing different electrolytes, field directions and environments. At higher voltages, oxygen-deficient nano-filaments are formed, as directly identified employing a CS-corrected transmission electron microscope. This study could provide a generalized approach for probing ion motions at the nanoscale.

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15173
    DOI: 10.1038/ncomms15173
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    Cited by:

    1. Chang Liu & Pek Jun Tiw & Teng Zhang & Yanghao Wang & Lei Cai & Rui Yuan & Zelun Pan & Wenshuo Yue & Yaoyu Tao & Yuchao Yang, 2024. "VO2 memristor-based frequency converter with in-situ synthesize and mix for wireless internet-of-things," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Rui Yuan & Pek Jun Tiw & Lei Cai & Zhiyu Yang & Chang Liu & Teng Zhang & Chen Ge & Ru Huang & Yuchao Yang, 2023. "A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. 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.
    4. Rui Yuan & Qingxi Duan & Pek Jun Tiw & Ge Li & Zhuojian Xiao & Zhaokun Jing & Ke Yang & Chang Liu & Chen Ge & Ru Huang & Yuchao Yang, 2022. "A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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