首页> 外文OA文献 >Two-dimensional(2D) subthreshold current and subthreshold swing modeling of double-material-gate(DMG) strained-Si(s-Si) on silicon-germanium(SiGe) MOSFETs.
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Two-dimensional(2D) subthreshold current and subthreshold swing modeling of double-material-gate(DMG) strained-Si(s-Si) on silicon-germanium(SiGe) MOSFETs.

机译:硅锗(SiGe)MOSFET上的双材料栅极(DMG)应变硅(s-Si)的二维(2D)亚阈值电流和亚阈值摆幅模型。

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摘要

In this dissertation analysis of double-material-gate (DMG) strained-Si (s-Si) channel on SiGe substrate MOSFET is done in the subthreshold region of operation and hence the behaviour of leakage current and subthreshold swing is studied. The advantages of dual material gate (DMG) structure to suppress various short channel effects are studied. Also the effect of introducing strain in the channel is incorporated as it is beneficial in terms of improving the mobility of carriers in the channel. A two dimensional (2D) analytical device model is derived by solving Poisson’s equation and by approximating the potential profile as a parabola in the channel. A detailed analysis of double-material-gate (DMG) strained-Si (s-Si) on SiGe MOSFET is done in the subthreshold region of operation in terms of subthreshold current and subthreshold swing while varying different device parameters such as gate length, amount of strain, control gate to screen gate length ratio, control gate to screen gate metal work function ratio to investigate the advantages of incorporating strain and double material gate metal in the proposed device. Thereafter two dimensional (2D) simulation of the device is carried out in the device simulator ATLASTM by Silvaco Inc. The data extracted from the simulator is used for verification of the predicted model.
机译:本文在亚阈值工作区进行了双材料栅(Si-Si)沟道双材料栅(DMG)应变硅(s-Si)沟道的分析,从而研究了漏电流和亚阈值摆幅的行为。研究了双材料栅极(DMG)结构抑制各种短沟道效应的优势。还引入了在通道中引入应变的效果,因为这在改善通道中载流子的迁移性方面是有益的。二维(2D)分析设备模型是通过求解泊松方程并近似于通道中的抛物线形而得出的。在亚阈值工作区域中,根据亚阈值电流和亚阈值摆幅,对SiGe MOSFET上的双材料栅极(DMG)应变硅(s-Si)进行了详细分析,同时改变了不同的器件参数,例如栅极长度,数量应变,控制栅与屏蔽栅的长度之比,控制栅与屏蔽栅的金属功函数之比,以研究在拟议的器件中结合应变和双材料栅金属的优点。此后,在Silvaco Inc.的设备模拟器ATLASTM中对设备进行二维(2D)仿真。从模拟器中提取的数据用于验证预测模型。

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    Mukhopadhyay A K;

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  • 年度 2014
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