• DocumentCode
    3607056
  • Title

    An RRAM Biasing Parameter Optimizer

  • Author

    Serb, Alexander ; Khiat, Ali ; Prodromakis, Themistoklis

  • Author_Institution
    Nano Group, Univ. of Southampton, Southampton, UK
  • Volume
    62
  • Issue
    11
  • fYear
    2015
  • Firstpage
    3685
  • Lastpage
    3691
  • Abstract
    Research on memory devices is a highly active field, and many new technologies are being constantly developed. However, characterizing them and understanding how to bias for optimal performance are becoming an increasingly tight bottleneck. Here, we propose a novel technique for extracting biasing parameters, conducive to desirable switching behavior in a highly automated manner, thereby shortening the process development cycles. The principle of operation is based on: 1) applying variable amplitude, pulse-mode stimulation on a test device in order to induce switching multiple times; 2) collecting the data on how pulsing parameters affect the device´s resistive state; and 3) choosing the most suitable biasing parameters for the application at hand. The utility of the proposed technique is validated on TiOx-based prototypes, where we demonstrate the successful extraction of biasing parameters that allow the operation of our devices both as multistate and binary resistive switches.
  • Keywords
    resistive RAM; titanium compounds; RRAM biasing parameter optimizer; TiOx; binary resistive switches; device resistive state; memory devices; multistate resistive switches; process development cycles; pulse mode stimulation; switching behavior; switching multiple times; variable amplitude; Performance evaluation; Programming; Prototypes; Random access memory; Switches; Testing; Voltage measurement; Characterization; memristor; resistive random access memory (RRAM); testing; testing.;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2015.2478491
  • Filename
    7277063