Impact of lanthanum doped zirconium oxide (LaZrO2) gate dielectric material on FinFET inverter

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Gurpurneet Kaur, S. S. Gill, M. Rattan
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引用次数: 2

Abstract

Abstract Fin-typed field effect transistor (FinFET) has considered a suitable device for low power and high-performance applications. The incorporation of gate dielectric lanthanum doped zirconium oxide (LaZrO2) in the 14 nm silicon on insulator (SOI) FinFET not only enhanced effective carrier mobility but also diminished the short channel effects (SCEs). The FinFET embodiment with LaZrO2 has dwindled subthreshold swing (SS), reduced drain-induced barrier lowering (DIBL), and raised on-current to off-current ratio as a contrast to SiO2-based FinFET. A remarkable enhancement of 1.18×, 11×, and 1.3× for transconductance (gm), early voltage (VEA), and an intrinsic gain (AV), respectively, have been investigated. Further, LaZrO2-based n-FinFET and p-FinFET devices have devised with equal dimensions. The improved noise margin of 0.375 V using a single-fin FinFET-based inverter circuit has proven the acceptance of this device in a circuit application.
掺镧氧化锆(LaZrO2)栅极介电材料对FinFET逆变器的影响
鳍型场效应晶体管(FinFET)被认为是一种适合低功耗和高性能应用的器件。将栅极介质镧掺杂氧化锆(LaZrO2)掺入14 nm硅基绝缘体(SOI) FinFET中,不仅提高了有效载流子迁移率,而且减小了短沟道效应(SCEs)。与基于sio2的FinFET相比,采用LaZrO2的FinFET减少了亚阈值摆幅(SS),减少了漏极诱导势垒降低(DIBL),并提高了通断电流比。对跨导(gm)、早期电压(VEA)和固有增益(AV)分别进行了1.18倍、11x倍和1.3倍的显著增强研究。此外,基于lazro2的n-FinFET和p-FinFET器件具有相同的尺寸。使用基于finfet的单鳍逆变电路将噪声裕度提高到0.375 V,证明了该器件在电路应用中的可接受性。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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