TCAD-Based Investigation of Statistical Variability Immunity in U-Channel FDSOI n-MOSFET for Sub-7-nm Technology

Sudarsanan, Akhil and Nayak, Kaushik (2021) TCAD-Based Investigation of Statistical Variability Immunity in U-Channel FDSOI n-MOSFET for Sub-7-nm Technology. IEEE Transactions on Electron Devices, 68 (6). pp. 2611-2617. ISSN 0018-9383

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Abstract

In this article, the impact of random fluctuation sources, such as metal gate granularity (MGG), line edge roughness (LER), and random dopant fluctuations (RDFs), are numerically studied for U-shaped n-channel fully depleted silicon on insulator (FDSOI) MOSFET (U-SOIFET) over conventional n-channel FDSOI MOSFET (C-SOIFET) for 7-nm technology node. This article reports that improved short-channel effect immunity in U-SOIFET results in less $1\sigma $ threshold voltage ( ${V}_{T}$ ) and ON-current ( ${I}_{ \mathrm{\scriptscriptstyle ON}}$ ) fluctuations compared to C-SOIFET due to MGG and LER variability sources. U-SOIFET exhibits a low ${V}_{T}$ mismatch index ( ${A}_{\Delta VT}=1.78$ mV. $\mu \text{m}$ ) close to the literature reported. Due to combined variability sources, U-SOIFET shows less ${V}_{T}$ , ${I}_{ \mathrm{\scriptscriptstyle ON}}$ , subthreshold swing (SS), and DIBL fluctuations compared to C-SOIFET. Immunity to statistical variability sources makes U-SOIFET a suitable silicon on insulator (SOI) device architecture for future CMOS logic device applications.

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IITH Creators:
IITH CreatorsORCiD
Sudarsanan, AkhilUNSPECIFIED
Nayak, KaushikUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Fully depleted silicon-on-insulator; Line Edge Roughness; Random dopant fluctuation; Random fluctuation; Short-channel effect; Silicon on insulator devices; Statistical variability; Sub-threshold swing(ss)
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 11 Aug 2021 10:29
Last Modified: 11 Aug 2021 10:29
URI: http://raiithold.iith.ac.in/id/eprint/8796
Publisher URL: http://doi.org/10.1109/TED.2021.3074116
OA policy: https://v2.sherpa.ac.uk/id/publication/3444
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