Electrochemical Oxidation Induced Multi-Level Memory in Carbon-Based Resistive Switching Devices

被引:0
|
作者
Paola Russo
Ming Xiao
Norman Y. Zhou
机构
[1] University of Waterloo,Waterloo Institute for Nanotechnology
[2] 200 University Avenue West Waterloo,Centre for Advanced Materials Joining
[3] University of Waterloo,Multi
[4] 200 University Avenue West Waterloo,Scale Additive Manufacturing Lab
[5] University of Waterloo,Department of Mechanical and Mechatronics Engineering
[6] 200 University Avenue West Waterloo,undefined
[7] University of Waterloo,undefined
[8] 200 University Avenue West Waterloo,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
In this work, we report for the first time the electrochemical oxidation as a technique to improve the electrical performances of carbon-based resistive switching devices. The devices obtained through the anodic oxidation of carbon-structures possess superior electrical performances i.e. a 3-level memory behavior and an ON/OFF ratio two order of magnitude higher than the non-oxidized carbon-based devices. It is demonstrated that the chemical composition of the carbon structures (i.e. percentage of oxygen groups, sp2 and sp3 carbon atoms) plays a key role in the improvement of the carbon-based devices. The electrochemical oxidation allows the possibility to control the oxidation degree, and therefore, to tailor the devices electrical performances. We demonstrated that the resistive switching behavior in the electrochemically oxidized devices is originated from the formation of conductive filament paths, which are built from the oxygen vacancies and structural defects of the anodic oxidized carbon materials. The novelty of this work relies on the anodic oxidation as a time- and cost-effective technique that can be employed for the engineering and improvement of the electrical performances of next generation carbon-based resistive switching devices.
引用
收藏
相关论文
共 50 条
  • [21] Advances in resistive switching based memory devices
    Munjal, Sandeep
    Khare, Neeraj
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2019, 52 (43)
  • [22] Resistive Switching Memory Devices Based on Proteins
    Wang, Hong
    Meng, Fanben
    Zhu, Bowen
    Leow, Wan Ru
    Liu, Yaqing
    Chen, Xiaodong
    Advanced Materials, 2015, : 7670 - 7676
  • [23] Resistive Switching of Carbon-Based RRAM with CNT Electrodes for Ultra-Dense Memory
    Chai, Yang
    Wu, Yi
    Takei, Kuniharu
    Chen, Hong-Yu
    Yu, Shimeng
    Chan, Philip C. H.
    Javey, Ali
    Wong, H. -S. Philip
    2010 INTERNATIONAL ELECTRON DEVICES MEETING - TECHNICAL DIGEST, 2010,
  • [24] A Robust Time-Based Multi-Level Sensing Circuit for Resistive Memory
    Zhang, Xueyong
    An, Byung-Kwon
    Kim, Tony Tae-Hyoung
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2023, 70 (01) : 340 - 352
  • [25] A Robust Time-Based Multi-Level Sensing Circuit for Resistive Memory
    Zhang, Xueyong
    An, Byung-Kwon
    Kim, Tony Tae-Hyoung
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2022,
  • [26] Carbon nanowalls: A new material for resistive switching memory devices
    Russo, Paola
    Xiao, Ming
    Zhou, Norman Y.
    CARBON, 2017, 120 : 54 - 62
  • [27] Resistive switching memory integrated with amorphous carbon-based nanogenerators for self-powered device
    Zhou, Guangdong
    Ren, Zhijun
    Wang, Lidan
    Wu, Jinggao
    Sun, Bai
    Zhou, Ankun
    Zhang, Guanghui
    Zheng, Shaohui
    Duan, Shukai
    Song, Qunliang
    NANO ENERGY, 2019, 63
  • [28] Improved multi-level capability in Si3N4-based resistive switching memory using continuous gradual reset switching
    Kim, Sungjun
    Park, Byung-Gook
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2017, 50 (02)
  • [29] Recent advancements in carbon-based materials for resistive switching applications
    Patil S.L.
    Pawar O.Y.
    Dongale T.D.
    Chang S.
    Lim S.
    Song Y.M.
    Carbon, 2024, 228
  • [30] Interface-induced two-step RESET for filament-based multi-level resistive memory
    Yuan, Fang
    Shen, Shanshan
    Zhang, Zhigang
    Pan, Liyang
    Xu, Jun
    SUPERLATTICES AND MICROSTRUCTURES, 2016, 91 : 90 - 97