• DocumentCode
    3097615
  • Title

    Estimating and enhancing the yield of tunneling SRAM cells by simulation

  • Author

    Zuo, Dingli ; Kelly, Michael J.

  • Author_Institution
    Dept. of Eng., Univ. of Cambridge, Cambridge, UK
  • fYear
    2011
  • fDate
    7-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Monte Carlo simulations is used to optimize the elements of the circuits external to the TSRAM cell, which greatly relaxed the tolerance of the thickness of the resonant tunneling diodes´ (RTD) prebarrier (added just outside one of the tunnel barriers for current reduction, which is essential for TSRAM´s low-power operation), from ±0.16 monolayer (ml) to ±0.48 ml for a 99.9% cell-level yield. Results show that additional optimizations at the cell, the architecture, and the system levels will help relax the tolerance and thus enhance the yield further, making TSRAM´s commercial adoption more likely.
  • Keywords
    Monte Carlo methods; SRAM chips; circuit optimisation; low-power electronics; monolayers; resonant tunnelling diodes; Monte Carlo simulation; TSRAM cell; TSRAM commercial adoption; TSRAM low-power operation; cell-level yield; current reduction; monolayer; optimization; resonant tunneling diode; tunneling SRAM cells; Capacitance; Integrated circuit modeling; Monte Carlo methods; Optimization; Random access memory; Resonant tunneling devices; Semiconductor device modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Device Research Symposium (ISDRS), 2011 International
  • Conference_Location
    College Park, MD
  • Print_ISBN
    978-1-4577-1755-0
  • Type

    conf

  • DOI
    10.1109/ISDRS.2011.6135151
  • Filename
    6135151