2015
DOI: 10.1109/tnano.2015.2469647
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A SPICE-Compatible Model of MOS-Type Graphene Nano-Ribbon Field-Effect Transistors Enabling Gate- and Circuit-Level Delay and Power Analysis Under Process Variation

Abstract: This paper presents the first parameterized, SPICEcompatible compact model of a Graphene Nano-Ribbon FieldEffect Transistor (GNRFET) with doped reservoirs, also known as MOS-type GNRFET. The current and charge models closely match numerical TCAD simulations. In addition, process variation in transistor dimension, line edge roughness, and doping level in the reservoirs are accurately modeled. Our model provides a means to analyze delay and power of graphene-based circuits under process variation, and offers des… Show more

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Cited by 72 publications
(89 citation statements)
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“…Important variations in the power (mainly static) of an inverter gate have been observed in simulation experiments [9,21,23,31].…”
Section: Ribbon Widthmentioning
confidence: 99%
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“…Important variations in the power (mainly static) of an inverter gate have been observed in simulation experiments [9,21,23,31].…”
Section: Ribbon Widthmentioning
confidence: 99%
“…In this section we show some examples of logic circuits based on GNR FET devices. Most of the logic circuits proposed in the literature [2, 10,13,21,23,24] present a CMOS-like structure. They are basic logic gates or memory cells.…”
Section: Graphene Nanoribbon Logic Circuitsmentioning
confidence: 99%
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“…Graphene in its pristine 2-D form is semi-metallic and has no band gap. While band gap can be opened by narrowing graphene into graphene nanoribbons under 10 nm, issues such as process variation, mobility degradation, and line edge roughness severely degrade its performance [2][3][4][5][6][7][8]. TMDs, on the other hand, have a band gap of 1-2 eV by nature without scaling down to the small nanometer range, which greatly reduces the difficulty of production and also mitigates undesirable effects from process variation.…”
Section: Introductionmentioning
confidence: 99%