IEEE InternationalElectron Devices Meeting, 2005. IEDM Technical Digest.
DOI: 10.1109/iedm.2005.1609444
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On the dispersive versus arrhenius temperature activation of nbti time evolution in plasma nitrided gate oxides: measurements, theory, and implications

Abstract: Negative Bias Temperature Instability (NBTI) is studied in p-MOSFETs having Decoupled Plasma Nitrided (DPN) gate oxides (EOT range of 12A O through 22A O ). Threshold voltage shift (∆V T ) is shown to be primarily due to interface trap generation (∆N IT ) and significant hole trapping (∆N OT ) has not been observed. ∆V T follows power-law time (t) dependence and Arrhenius temperature (T) activation. IntroductionNBTI is a serious reliability concern for p-MOSFETs [1]. Oxynitrides (required for suppressing boron… Show more

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Cited by 106 publications
(131 citation statements)
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“…3,7 This "H 2 R-D" model also provides a consistent interpretation of temperature and field dependencies of NBTI for long-term stress, as extensively studied for devices with SiO 2 , plasma SiON, and thin thermal SiON dielectrics. 2,5,6,8 Although the classical "H 2 R-D" model provides an excellent interpretation for long-term stress data, our analysis shows that ͑1͒ the predictions of this model is inconsistent with the short term, sub-10 s, NBTI degradation ͓see Fig. 1͑b͔͒ and ͑2͒ in contrast to long-term degradation, the shortterm time exponent of NBTI degradation depends on the measurement techniques.…”
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confidence: 71%
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“…3,7 This "H 2 R-D" model also provides a consistent interpretation of temperature and field dependencies of NBTI for long-term stress, as extensively studied for devices with SiO 2 , plasma SiON, and thin thermal SiON dielectrics. 2,5,6,8 Although the classical "H 2 R-D" model provides an excellent interpretation for long-term stress data, our analysis shows that ͑1͒ the predictions of this model is inconsistent with the short term, sub-10 s, NBTI degradation ͓see Fig. 1͑b͔͒ and ͑2͒ in contrast to long-term degradation, the shortterm time exponent of NBTI degradation depends on the measurement techniques.…”
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confidence: 71%
“…This figure also signifies that H 2 diffusion ͑alone͒ cannot properly explain the short-term stress data with the parameters normally used in the model. 2 predicts a change in n from 1 ͑for reaction-limited region 1,7 ͒ to 1/6 ͑for H 2 diffusion-limited region 3,7 ͒ within approximately one order of time scale ͑see the dashed asymptotes in Fig. 1͑b͒͒, experiments indicate a wider transition region ͑Fig.…”
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confidence: 99%
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