Improved resistive switching of RGO and SnO2 based resistive memory device for non-volatile memory application

被引:22
作者
Komal, Km [1 ]
Gupta, Govind [2 ]
Singh, Mukhtiyar [1 ]
Singh, Bharti [1 ]
机构
[1] Delhi Technol Univ, Dept Appl Phys, Delhi 110042, India
[2] CSIR Natl Phys Lab CSIR, Sensor Devices & Metrol, Delhi 110012, India
关键词
Resistive switching; Non-volatile memory; Metal oxide; Reduced graphene oxide; Nanocomposite; RANDOM-ACCESS MEMORY; GRAPHENE OXIDE; ENERGY-CONVERSION; NANOCOMPOSITE; NANOCRYSTALS; MECHANISMS; REDUCTION; RERAM; FILMS;
D O I
10.1016/j.jallcom.2022.166196
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
Resistive switching memory, which combines simple architectures with the ability of high density, high switching speed, and low power consumption, has sparked a lot of attention in the field of non-volatile memory devices. In the present work, the resistive switching performance of reduced graphene oxide (RGO) and tin oxide (SnO2) based nanocomposite have been carried out. RGO, SnO2, and RGO-SnO2 nanocomposite were synthesized via hydrothermal technique and the formation of nanocomposite is confirmed by X-ray diffraction and Raman spectroscopy techniques. We herein present a bipolar resistive switching memory based on SnO2 and RGO-SnO2 fabricated by a simple spin-coating process. The two different memory de-vices have been fabricated by depositing pure SnO2, and RGO-SnO2 films over the bottom ITO electrode and top Al electrodes deposited through a shadow mask. It was observed that devices with RGO-SnO2 showed improved resistive switching in comparison to pure SnO2 film. This improvement of the composite-based film is recognized in terms of switching parameters, such as a reduction in the device operating voltage from 4.11 V for SnO2 to 1 V for RGO-SnO2 composite-based devices. In addition, the resistance ratio in the composite-based films showed significant enhancement. Further, the retention and endurance behavior of the fabricated composite film-based device was tested up to 1 * 103 s and up to 100 cycles respectively which didn't exhibit any degradation. The operating mechanism of the memory device was explained by fitting the current-voltage characteristics in the low-resistance and high-resistance states. It may be highlighted that the present metal oxide and RGO-based devices have great potential for future non-volatile memory devices. (c) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
相关论文
共 65 条
  • [1] Charge conduction and relaxation in MoS2 nanoflakes synthesized by simple solid state reaction
    Ahmad, Mushtaq
    Rafiq, M. A.
    Imran, Z.
    Rasool, Kamran
    Shahid, R. N.
    Javed, Yasir
    Hasan, M. M.
    [J]. JOURNAL OF APPLIED PHYSICS, 2013, 114 (04)
  • [2] Lattice defects of ZnO and hybrids with GO: Characterization, EPR and optoelectronic properties
    Ahmed, Gulzar
    Hanif, Muddasir
    Mahmood, Khalid
    Yao, Rihui
    Ning, Honglong
    Jiao, Dongling
    Wu, Mingmei
    Khan, Javid
    Liu, Zhongwu
    [J]. AIP ADVANCES, 2018, 8 (02):
  • [3] Carbon nanomaterials for non-volatile memories
    Ahn, Ethan C.
    Wong, H. -S. Philip
    Pop, Eric
    [J]. NATURE REVIEWS MATERIALS, 2018, 3 (03):
  • [4] Bandgap tuning and XPS study of SnO2 quantum dots
    Babu, Bathula
    Reddy, I. Neelakanta
    Yoo, Kisoo
    Kim, Dongseob
    Shim, Jaesool
    [J]. MATERIALS LETTERS, 2018, 221 : 211 - 215
  • [5] Electrical, optical and structural properties of Li-doped SnO2 transparent conducting films deposited by the spray pyrolysis technique:: a carrier-type conversion study
    Bagheri-Mohagheghi, MM
    Shokooh-Saremi, M
    [J]. SEMICONDUCTOR SCIENCE AND TECHNOLOGY, 2004, 19 (06) : 764 - 769
  • [6] A Universal Strategy for Stretchable Polymer Nonvolatile Memory via Tailoring Nanostructured Surfaces
    Ban, Chaoyi
    Wang, Xiangjing
    Zhou, Zhe
    Mao, Huiwu
    Cheng, Shuai
    Zhang, Zepu
    Liu, Zhengdong
    Li, Hai
    Liu, Juqing
    Huang, Wei
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [7] Emerging NVM: A Survey on Architectural Integration and Research Challenges
    Boukhobza, Jalil
    Rubini, Stephane
    Chen, Renhai
    Shao, Zili
    [J]. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2018, 23 (02)
  • [8] Nonvolatile Multistates Memories for High-Density Data Storage
    Cao, Qiang
    Lu, Weiming
    Wang, X. Renshaw
    Guan, Xinwei
    Wang, Lan
    Yan, Shishen
    Wu, Tom
    Wang, Xiaolin
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2020, 12 (38) : 42449 - 42471
  • [9] Predicting Graphene's Nonlinear-Optical Refractive Response for Propagating Pulses
    Castello-Lurbe, David
    Thienpont, Hugo
    Vermeulen, Nathalie
    [J]. LASER & PHOTONICS REVIEWS, 2020, 14 (06)
  • [10] A review of emerging non-volatile memory (NVM) technologies and applications
    Chen, An
    [J]. SOLID-STATE ELECTRONICS, 2016, 125 : 25 - 38