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Manipulation of current rectification in van der Waals ferroionic CuInP2S6

Author

Listed:
  • Xingan Jiang

    (Beijing Institute of Technology)

  • Xueyun Wang

    (Beijing Institute of Technology)

  • Xiaolei Wang

    (Beijing University of Technology)

  • Xiangping Zhang

    (Beijing Institute of Technology)

  • Ruirui Niu

    (Peking University)

  • Jianming Deng

    (Beijing Institute of Technology)

  • Sheng Xu

    (Renmin University of China)

  • Yingzhuo Lun

    (Beijing Institute of Technology)

  • Yanyu Liu

    (Beijing Institute of Technology
    Tianjin Normal University)

  • Tianlong Xia

    (Renmin University of China)

  • Jianming Lu

    (Peking University)

  • Jiawang Hong

    (Beijing Institute of Technology)

Abstract

Developing a single-phase self-rectifying memristor with the continuously tunable feature is structurally desirable and functionally adaptive to dynamic environmental stimuli variations, which is the pursuit of further smart memristors and neuromorphic computing. Herein, we report a van der Waals ferroelectric CuInP2S6 as a single memristor with superior continuous modulation of current and self-rectifying to different bias stimuli (sweeping speed, direction, amplitude, etc.) and external mechanical load. The synergetic contribution of controllable Cu+ ions migration and interfacial Schottky barrier is proposed to dynamically control the current flow and device performance. These outstanding sensitive features make this material possible for being superior candidate for future smart memristors with bidirectional operation mode and strong recognition to input faults and variations.

Suggested Citation

  • Xingan Jiang & Xueyun Wang & Xiaolei Wang & Xiangping Zhang & Ruirui Niu & Jianming Deng & Sheng Xu & Yingzhuo Lun & Yanyu Liu & Tianlong Xia & Jianming Lu & Jiawang Hong, 2022. "Manipulation of current rectification in van der Waals ferroionic CuInP2S6," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28235-6
    DOI: 10.1038/s41467-022-28235-6
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    References listed on IDEAS

    as
    1. Qingxi Duan & Zhaokun Jing & Xiaolong Zou & Yanghao Wang & Ke Yang & Teng Zhang & Si Wu & Ru Huang & Yuchao Yang, 2020. "Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    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.
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    Cited by:

    1. Mengjiao Han & Cong Wang & Kangdi Niu & Qishuo Yang & Chuanshou Wang & Xi Zhang & Junfeng Dai & Yujia Wang & Xiuliang Ma & Junling Wang & Lixing Kang & Wei Ji & Junhao Lin, 2022. "Continuously tunable ferroelectric domain width down to the single-atomic limit in bismuth tellurite," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Ruirui Niu & Zhuoxian Li & Xiangyan Han & Zhuangzhuang Qu & Dongdong Ding & Zhiyu Wang & Qianling Liu & Tianyao Liu & Chunrui Han & Kenji Watanabe & Takashi Taniguchi & Menghao Wu & Qi Ren & Xueyun Wa, 2022. "Giant ferroelectric polarization in a bilayer graphene heterostructure," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. Xiaolei Wang & Zixuan Shang & Chen Zhang & Jiaqian Kang & Tao Liu & Xueyun Wang & Siliang Chen & Haoliang Liu & Wei Tang & Yu-Jia Zeng & Jianfeng Guo & Zhihai Cheng & Lei Liu & Dong Pan & Shucheng Ton, 2023. "Electrical and magnetic anisotropies in van der Waals multiferroic CuCrP2S6," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

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