• DocumentCode
    31842
  • Title

    Supply Voltage Dependence of Heavy Ion Induced SEEs on 65 nm CMOS Bulk SRAMs

  • Author

    Qiong Wu ; Yuanqing Li ; Li Chen ; Anlin He ; Gang Guo ; Baeg, Sang H. ; Haibin Wang ; Rui Liu ; Lixiang Li ; Shi-Jie Wen ; Wong, Richard ; Allman, Sidney ; Fung, Rita

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1898
  • Lastpage
    1904
  • Abstract
    Soft Error Rates (SER) of hardened and unhardened SRAM cells need to be experimentally characterized to determine their appropriate applications in radiation environments. This characterization is especially important when low supply voltage is preferred. In this paper, we developed an SRAM test chip with four cell arrays including two types of unhardened cells (standard 6T and subthreshold 10T) and two types of hardened cells (Quatro and DICE). This test chip was fabricated in a 65 nm bulk technology and irradiated by heavy ions at different supply voltages. Experimental results show that the SERs of 6T and 10T cells present significant sensitivities to supply voltages when the particle linear energy transfers (LETs) are relatively low. For Quatro and DICE cells, one does not consistently show superior hardening performance over the other. It is also noted that Quatro cells show significant advantage in single event resilience over 10T cells although they consume similar areas. TCAD simulations were carried out to validate the experimental data. In addition, the error amount distributions follow a Poisson distribution very well for each type of cell array.
  • Keywords
    CMOS memory circuits; Poisson distribution; SRAM chips; radiation hardening (electronics); technology CAD (electronics); 10T cell; 6T cell; CMOS bulk SRAM; DICE; Poisson distribution; Quatro; SER; SRAM test chip; TCAD simulations; heavy ion induced SEE; particle linear energy transfers; radiation environments; single event resilience; size 65 nm; soft error rates; supply voltage dependence; unhardened SRAM cells; Alpha particles; Arrays; Ions; Neutrons; SRAM cells; Testing; Heavy ion experiments; Poisson distribution; SRAMs; single-event effects; supply voltage;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2015.2454954
  • Filename
    7177128