• DocumentCode
    3609501
  • Title

    Compact Modeling of RRAM Devices and Its Applications in 1T1R and 1S1R Array Design

  • Author

    Pai-Yu Chen ; Shimeng Yu

  • Author_Institution
    Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    62
  • Issue
    12
  • fYear
    2015
  • Firstpage
    4022
  • Lastpage
    4028
  • Abstract
    In this paper, we present a compact model for metal-oxide-based resistive random access memory (RRAM) devices with bipolar switching characteristics. The switching mechanism relies on the dynamics of conductive filament growth/dissolution in the oxide layer. Besides the dc and pulsed I-V characteristics, the model also captures the RRAM retention property and the temperature dynamics. The model parameters and the device variations are calibrated from the experimental data of IMEC HfOx-based RRAM devices. The model has been implemented in Verilog-A, which can be easily adapted into the SPICE simulator for the circuit-level analysis. As case studies, we demonstrate the model´s applications on the programming scheme design of the 1-transistor-1-resistor array, as well as the design space exploration of the 1-selector-1-resistor cross-point array toward megabit-level.
  • Keywords
    resistive RAM; semiconductor device models; 1-transistor-1-resistor array; RRAM devices; RRAM retention property; bipolar switching characteristics; conductive filament dissolution; conductive filament growth; design space exploration; metal-oxide-based resistive random access memory; oxide layer; temperature dynamics; Hafnium oxide; Integrated circuit modeling; Resistive RAM; SPICE; Transistors; 1-selector-1-resistor (1S1R); 1-transistor-1-resistor (1T1R); compact model; conductive filament (CF); cross-point array; resistive random access memory (RRAM); resistive switching; selector; variations; variations.;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2015.2492421
  • Filename
    7312469