2004
DOI: 10.1109/ted.2003.821708
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Analytical Drain Thermal Noise Current Model Valid for Deep Submicron MOSFETs

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Cited by 106 publications
(82 citation statements)
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“…The I-V curves are derived from the VS model of Khakifirooz et al, 17 whereas S I,ch in Eq. (16) is given by the compact model of Han et al 22 The model is compared to experimental results from the literature, for devices of 40nm and 10nm channel length. In the rest of the simulations, device parameters such as the channel legth and the oxide thickness are taken from the ITRS 2000, 2003 and 2013 for the 180nm, 100nm and 14nm nodes respectively.…”
Section: Discussionmentioning
confidence: 99%
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“…The I-V curves are derived from the VS model of Khakifirooz et al, 17 whereas S I,ch in Eq. (16) is given by the compact model of Han et al 22 The model is compared to experimental results from the literature, for devices of 40nm and 10nm channel length. In the rest of the simulations, device parameters such as the channel legth and the oxide thickness are taken from the ITRS 2000, 2003 and 2013 for the 180nm, 100nm and 14nm nodes respectively.…”
Section: Discussionmentioning
confidence: 99%
“…For the thermal noise generated in the channel we use the model described in Han et al 22 S I,ch = 4k B T µ e ff L 2 Q I , where k B is Boltzmann's constant, T is the temperature and Q I is the magnitude of the total inversion layer charge. Solving for the total current noise, we arrive at…”
Section: A Equivalent Noise Circuit Methodsmentioning
confidence: 99%
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“…4. However, Tsividis cannot consider the impact of channel length modulation (CLM), velocity saturation effect (VSE) and hot carrier effect (HCE) [24][25][26]. In addition, experimental results indicate that GCR (gradual channal region) significantly contribute to the channel thermal noise [27].…”
Section: Channel Thermal Noisementioning
confidence: 99%
“…Fig. 8 shows the calculated γ value as a function of gate bias for models proposed by Chen (Chen & Deen, 2002), Han (Han, Shin & Lee, 2004), and Roy (Roy & Enz, 2005), respectively. (Roy & Enz, 2005).…”
Section: Thermal Noise Modelingmentioning
confidence: 99%