Nitrogen and aluminum-nitrogen doped graphene for non-volatile resistive memory applications

被引:0
作者
Gonzalez-Rodriguez, Roberto [1 ]
Hathaway, Evan [1 ]
Hurley, Noah [1 ]
Lin, Yuankun [1 ]
Cui, Jingbiao [1 ]
机构
[1] Univ North Texas, Dept Phys, Denton, TX 76203 USA
来源
MATERIALS TODAY COMMUNICATIONS | 2023年 / 37卷
基金
美国国家科学基金会;
关键词
Graphene oxide; Graphene; Doping; Memory; Aluminum; Microwave; NANOSTRUCTURE ADSORBENT; MECHANICAL-PROPERTIES; OPTICAL-PROPERTIES; OXIDE;
D O I
10.1016/j.mtcomm.2023.107154
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Doping is a key strategy used to tune the electronic properties of graphene. Calculations have shown that graphene doped with Al has potential applications in the sensing of toxic gases. However, the realization of Al-doped graphene in experiments has proven to be a challenge. In this study, we successfully doped graphene with both N and a combination of Al and N using a microwave process suitable for large-scale production. Several characterization methods such as Raman spectroscopy, x-ray photoelectron spectroscopy (XPS), and energy dispersive x-ray spectroscopy (EDX) were used to confirm the composition, and therefore the successful doping, of the graphene. Doping and co-doping are found to increase the conductivity of graphene. It is also demonstrated that the doped graphene shows well-defined resistive memory properties when included in a sandwich structure consisting of polystyrene/doped graphene/polystyrene. The on-and-off voltage is found to be 2 V, making the AlN co-doped graphene suitable for applications in resistive memory devices.
引用
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页数:9
相关论文
共 61 条
  • [51] Solution-Processable 2D Polymer/Graphene Oxide Heterostructure for Intrinsic Low-Current Memory Device
    Wang, Xiaojing
    Yin, Yuhang
    Song, Mengya
    Zhang, Heshan
    Liu, Zhengdong
    Wu, Yueyue
    Chen, Yuanbo
    Eginligil, Mustafa
    Zhang, Shiming
    Liu, Juqing
    Huang, Wei
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2020, 12 (46) : 51729 - 51735
  • [52] Graphene resistive random memory - the promising memory device in next generation
    Wang, Xue-Feng
    Zhao, Hai-Ming
    Yang, Yi
    Ren, Tian-Ling
    [J]. CHINESE PHYSICS B, 2017, 26 (03)
  • [53] Graphene, a promising transparent conductor
    Wassei, Jonathan K.
    Kaner, Richard B.
    [J]. MATERIALS TODAY, 2010, 13 (03) : 52 - 59
  • [54] Memory leads the way to better computing
    Wong, H. -S. Philip
    Salahuddin, Sayeef
    [J]. NATURE NANOTECHNOLOGY, 2015, 10 (03) : 191 - 194
  • [55] Metal-Oxide RRAM
    Wong, H. -S. Philip
    Lee, Heng-Yuan
    Yu, Shimeng
    Chen, Yu-Sheng
    Wu, Yi
    Chen, Pang-Shiu
    Lee, Byoungil
    Chen, Frederick T.
    Tsai, Ming-Jinn
    [J]. PROCEEDINGS OF THE IEEE, 2012, 100 (06) : 1951 - 1970
  • [56] Graphene oxide-based random access memory: from mechanism, optimization to application
    Xie, Yu
    Qi, Meng
    Xiu, Xiaoming
    Yang, Jiadong
    Ren, Yanyun
    [J]. JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2023, 56 (03)
  • [57] Graphene-Based Heterogeneous Catalysis: Role of Graphene
    Yam, Kah Meng
    Guo, Na
    Jiang, Zhuoling
    Li, Shulong
    Zhang, Chun
    [J]. CATALYSTS, 2020, 10 (01)
  • [58] Zaffora A., 2021, Titanium Dioxide (TiO2) and Its Applications, P507, DOI [10.1016/B978-0-12-819960-2.00020-1, DOI 10.1016/B978-0-12-819960-2.00020-1]
  • [59] Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing
    Zahoor, Furqan
    Hussin, Fawnizu Azmadi
    Isyaku, Usman Bature
    Gupta, Shagun
    Khanday, Farooq Ahmad
    Chattopadhyay, Anupam
    Abbas, Haider
    [J]. DISCOVER NANO, 2023, 18 (01)
  • [60] Measuring the specific surface area of monolayer graphene oxide in water
    Zhang, Songdi
    Wang, Huihui
    Liu, Jianping
    Bao, Chenlu
    [J]. MATERIALS LETTERS, 2020, 261