Statistical Analysis of Intrinsic High-Frequency Characteristic Fluctuation of Emerging Silicon Gate-All-Around Nanosheet (NS) MOSFETs at Sub-3-nm Nodes

Sekhar Reddy Kola, Yi-Ming Li*, Min Hui Chuang, Kazuhiko Endo, Seiji Samukawa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, the GAA NS Si MOSFET has been explored as a leading technology. However, the intrinsic parameters of GAA NS Si MOSFETs are affected to varying degrees by various fluctuation sources, Statistically independent and identically distributed (iid) assumptions on the aforementioned random variables overestimate the variability of high-frequency characteristics, compared with considering all fluctuation factors simultaneously. Notably, the random nanosized metal grains dominates the variations of voltage gain, cut-off frequency, and 3dB frequency because the random work functions strongly alter the channel surface potential.

Original languageEnglish
Title of host publication7th IEEE Electron Devices Technology and Manufacturing Conference
Subtitle of host publicationStrengthen the Global Semiconductor Research Collaboration After the Covid-19 Pandemic, EDTM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350332520
DOIs
StatePublished - 2023
Event7th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2023 - Seoul, Korea, Republic of
Duration: 7 Mar 202310 Mar 2023

Publication series

Name7th IEEE Electron Devices Technology and Manufacturing Conference: Strengthen the Global Semiconductor Research Collaboration After the Covid-19 Pandemic, EDTM 2023

Conference

Conference7th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2023
Country/TerritoryKorea, Republic of
CitySeoul
Period7/03/2310/03/23

Keywords

  • device modeling
  • gate-all-around
  • interface trap fluctuation
  • nanosheet
  • random dopant fluctuation
  • work function fluctuation

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