2012
DOI: 10.1063/1.4748108
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Characterization and modeling of trap number and creation time distributions under negative-bias-temperature stress

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Cited by 3 publications
(2 citation statements)
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“…As the device dimensions continuously shrink, the traps in the gate oxide have attracted increasing attention due to their severe impacts on the reliability and variability of nano-scaled devices. [1][2][3][4][5][6][7][8] Most previous work on this topic focused on the switching behaviors of single trap (e.g., random telegraph noise 1,2 ), or the supposition effects of multi-traps, such as flicker noise and stochastic reliability of bias temperature instability. 3,4 However, traps are considered to be independent in most previous work, in which the supposition effects are simply treated as summation of the amplitudes of individual traps.…”
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confidence: 99%
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“…As the device dimensions continuously shrink, the traps in the gate oxide have attracted increasing attention due to their severe impacts on the reliability and variability of nano-scaled devices. [1][2][3][4][5][6][7][8] Most previous work on this topic focused on the switching behaviors of single trap (e.g., random telegraph noise 1,2 ), or the supposition effects of multi-traps, such as flicker noise and stochastic reliability of bias temperature instability. 3,4 However, traps are considered to be independent in most previous work, in which the supposition effects are simply treated as summation of the amplitudes of individual traps.…”
mentioning
confidence: 99%
“…[1][2][3][4][5][6][7][8] Most previous work on this topic focused on the switching behaviors of single trap (e.g., random telegraph noise 1,2 ), or the supposition effects of multi-traps, such as flicker noise and stochastic reliability of bias temperature instability. 3,4 However, traps are considered to be independent in most previous work, in which the supposition effects are simply treated as summation of the amplitudes of individual traps. Only few studies 6,7 reveal that there is coupling effect between different traps, which should not be ignored in the prediction of trap occupation probability.…”
mentioning
confidence: 99%