Low-Power Memristor Based on Two-Dimensional Materials

被引:68
|
作者
Duan, Huan [1 ]
Cheng, Siqi [1 ]
Qin, Ling [1 ]
Zhang, Xuelian [1 ]
Xie, Bingyang [1 ]
Zhang, Yang [2 ,3 ]
Jie, Wenjing [1 ]
机构
[1] Sichuan Normal Univ, Coll Chem & Mat Sci, Chengdu 610066, Peoples R China
[2] Nankai Univ, Inst Modern Opt, Tianjin 300071, Peoples R China
[3] Nankai Univ, Tianjin Key Lab Microscale Opt Informat Sci & Tech, Tianjin 300071, Peoples R China
来源
JOURNAL OF PHYSICAL CHEMISTRY LETTERS | 2022年 / 13卷 / 31期
基金
中国国家自然科学基金;
关键词
MEMTRANSISTORS;
D O I
10.1021/acs.jpclett.2c01962
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The memristor is an excellent candidate for nonvolatile memory and neuromorphic computing. Recently, two-dimensional (2D) materials have been developed for use in memristors with high-performance resistive switching characteristics, such as high on/off ratios, low SET/RESET voltages, good retention and endurance, fast switching speed, and low power and energy consumption. Low-power memristors are highly desired for recent fast-speed and energy-efficient artificial neuromorphic networks. This Perspective focuses on the recent progress of low-power memristors based on 2D materials, providing a condensed overview of relevant developments in memristive performance, physical mechanism, material modification, and device assembly as well as potential applications. The detailed research status of memristors has been reviewed based on different 2D materials from insulating hexagonal boron nitride, semiconducting transition metal dichalcogenides, to some newly developed 2D materials. Furthermore, a brief summary introducing the perspectives and challenges is included, with the aim of providing an insightful guide for this research field.
引用
收藏
页码:7130 / 7138
页数:9
相关论文
共 50 条
  • [1] Two-dimensional spintronics for low-power electronics
    Lin, Xiaoyang
    Yang, Wei
    Wang, Kang L.
    Zhao, Weisheng
    NATURE ELECTRONICS, 2019, 2 (07) : 274 - 283
  • [2] Two-dimensional spintronics for low-power electronics
    Xiaoyang Lin
    Wei Yang
    Kang L. Wang
    Weisheng Zhao
    Nature Electronics, 2019, 2 : 274 - 283
  • [3] Emerging of two-dimensional materials in novel memristor
    Zhou Zhican
    Yang Fengyou
    Wang Shu
    Wang Lei
    Wang Xiaofeng
    Wang Cong
    Xie Yong
    Liu Qian
    Frontiers of Physics, 2022, 17 (02)
  • [4] Emerging of two-dimensional materials in novel memristor
    Zhou, Zhican
    Yang, Fengyou
    Wang, Shu
    Wang, Lei
    Wang, Xiaofeng
    Wang, Cong
    Xie, Yong
    Liu, Qian
    FRONTIERS OF PHYSICS, 2022, 17 (02)
  • [5] Emerging of two-dimensional materials in novel memristor
    Zhican Zhou
    Fengyou Yang
    Shu Wang
    Lei Wang
    Xiaofeng Wang
    Cong Wang
    Yong Xie
    Qian Liu
    Frontiers of Physics, 2022, 17
  • [6] Optothermal Nanoscissors for Versatile Low-Power Patterning of Atomic-Thin Two-Dimensional Materials
    Li, Jingang
    Lin, Linhan
    Peng, Xiaolei
    Zheng, Yuebing
    2018 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2018,
  • [7] Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
    Zhipeng Xia
    Xiao Sun
    Zhenlong Wang
    Jialin Meng
    Boyan Jin
    Tianyu Wang
    Nano-Micro Letters, 2025, 17 (1)
  • [8] Preceded two-dimensional coding method for low-power serial bus
    Shin, Y
    Jeong, DK
    ELECTRONICS LETTERS, 1999, 35 (18) : 1524 - 1526
  • [9] Two-dimensional signal Gating for low-power array multiplier design
    Huang, ZJ
    Ercegovac, MD
    2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL I, PROCEEDINGS, 2002, : 489 - 492
  • [10] High-κ monocrystalline dielectrics for low-power two-dimensional electronics
    Yin, Lei
    Cheng, Ruiqing
    Wan, Xuhao
    Ding, Jiahui
    Jia, Jun
    Wen, Yao
    Liu, Xiaoze
    Guo, Yuzheng
    He, Jun
    NATURE MATERIALS, 2025, 24 (02) : 197 - 204