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2011 Design, Automation &Amp; Test in Europe 2011
DOI: 10.1109/date.2011.5763240
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Statistical aspects of NBTI/PBTI and impact on SRAM yield

Abstract: Abstract-Quantitative simulations of the statistical impact of negative-bias-temperature-instability (NBTI) on pMOSFETs, and positive-bias-temperature-instability (PBTI) on nMOSFETs are carried out for a 45nm low power technology generation. Based on the statistical simulation results, we investigate the impact of NBTI and PBTI on the degradation of the static noise margin (SNM) of SRAM cells. The results indicate that SNM degradation due only to NBTI follows a different evolution pattern compared with the imp… Show more

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Cited by 6 publications
(3 citation statements)
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References 14 publications
(22 reference statements)
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“…NBTI has proven to be a major reliability concern for deeply scaled transistors [1]- [3] which can severely affect the working of digital & analog circuits [4]. To address the Negative Bias Temperature Instability (NBTI) issue at circuit level, one standard approach is based on the modeling of the NBTI degradation measured at transistor level stressed under simple AC mode.…”
Section: Introductionmentioning
confidence: 99%
“…NBTI has proven to be a major reliability concern for deeply scaled transistors [1]- [3] which can severely affect the working of digital & analog circuits [4]. To address the Negative Bias Temperature Instability (NBTI) issue at circuit level, one standard approach is based on the modeling of the NBTI degradation measured at transistor level stressed under simple AC mode.…”
Section: Introductionmentioning
confidence: 99%
“…The MOSFET transistors are deteriorated by aging mechanisms like hot-carrier injection (HCI), radiation induced damage, and bias temperature instability (BTI). With the introduction of high-k transistor gates, the nMOS transistor becomes sensitive to the PBTI (positive BTI) effect [13], [14]. Several works have studied the effects of PBTI on the reliability of the SRAM cell - [15], [16] among othersbut limited publications are available on evaluating its effect on STT-MRAMs.…”
Section: Introductionmentioning
confidence: 99%
“…[17][18][19] Furthermore, P/NBTI-related variability is determined by discrete charge trapping of the random discrete dopants. [20][21][22][23][24][25] Studies of a model for variability is developed and used to derive cumulative distribution functions (CDFs) for device bias and geometry applications. 18,26,27) However, experimental investigations of I d-RTS and its reliability have not yet been fully clarified, although studies on device performance and the reliability of advanced HK dielectric CMOSFETs have been widely carried out.…”
Section: Introductionmentioning
confidence: 99%