2009
DOI: 10.5573/jsts.2009.9.4.225
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Symmetric and Asymmetric Double Gate MOSFET Modeling

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Cited by 29 publications
(8 citation statements)
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“…Whereas separately studying both symmetric (SDG) and asymmetric (ADG) double gate structures is undoubtedly useful [1,2], the generic asymmetric independently driven double gate (AIDG) condition is particularly important because it encompasses all possible cases [3]. Highly accurate and physics-based potential models, which are at the same time computationally manageable, are required to adequately model DG devices [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Whereas separately studying both symmetric (SDG) and asymmetric (ADG) double gate structures is undoubtedly useful [1,2], the generic asymmetric independently driven double gate (AIDG) condition is particularly important because it encompasses all possible cases [3]. Highly accurate and physics-based potential models, which are at the same time computationally manageable, are required to adequately model DG devices [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Several resolution procedures have been proposed in previous works. They either rely on a numerical resolution of the set of equations [8]- [14], on interpolation functions between the transistor operation regimes [15], [16] or on approximation of the potential profile in the thin body [17], [18]. In addition, all the rigorous solutions require an a priori calculation of the boundaries between hyperbolic and trigonometric modes [8]- [10], [12], [13], involving the use of hardly tractable Lambert functions [19].…”
Section: Introductionmentioning
confidence: 99%
“…[1] has given many available applications of the Lambert W-function, while Ref. [2] used it to develop an analytical compact model for the asymmetric lightly doped MOSFET. Furthermore, the feedback linearization method and state feedback law to transform and eliminate the nonlinearity model of photovoltaic system into a simple equivalent linear model, were used to find a direct relation between the output and the control input, by using inverse dynamics [3,4].…”
Section: Introductionmentioning
confidence: 99%