Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET

Ballistics; Display devices; Gate dielectrics; Graphene; Graphene devices; Graphene transistors; Hafnium oxides; High-k dielectric; Manufacture; Ohmic contacts; Reconfigurable hardware; Analytical expressions; Ballistic transports; Channel potential; Drain-induced barrier lowering; HIGH-K metal gate...

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Main Authors: Noor Faizah Z.A., Ahmad I., Ker P.J., Menon P.S.
Other Authors: 56395444600
Format: Conference Paper
Published: EDP Sciences 2023
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spelling my.uniten.dspace-226362023-05-29T14:11:25Z Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET Noor Faizah Z.A. Ahmad I. Ker P.J. Menon P.S. 56395444600 12792216600 37461740800 57201289731 Ballistics; Display devices; Gate dielectrics; Graphene; Graphene devices; Graphene transistors; Hafnium oxides; High-k dielectric; Manufacture; Ohmic contacts; Reconfigurable hardware; Analytical expressions; Ballistic transports; Channel potential; Drain-induced barrier lowering; HIGH-K metal gates; Ideal ohmic contacts; Process characterization; Sub-threshold swing(ss); MOSFET devices This paper presents an inclusive study and analysis of graphene-based MOSFET device at 32nm gate length. The analysis was based on top-gated structure which utilized Hafnium Dioxide (HfO2) dielectrics and metal gate. The same conventional process flows of a transistor were applied except the deposition of bilayer graphene as a channel. The analytical expression of the channel potential includes all relevant physics of bilayer graphene and by assuming that this device displays an ideal ohmic contact and functioned at a ballistic transport. Based on the designed transistor, the on-state current (ION) for both GNMOS and GPMOS shows a promising performance where the value is 982.857uA/um and 99.501uA/um respectively. The devices also possess a very small leakage current (IOFF) of 0.289578nA/um for GNMOS and 0.130034nA/um for GPMOS as compared to the conventional SiO2/Poly-Si and high-k metal gate transistors. However, the devices suffer an inappropriate subthreshold swing (SS) and high value of drain induced barrier lowering (DIBL). � 2016 The Authors, published by EDP Sciences. Final 2023-05-29T06:11:25Z 2023-05-29T06:11:25Z 2016 Conference Paper 10.1051/matecconf/20167801016 2-s2.0-84992390128 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992390128&doi=10.1051%2fmatecconf%2f20167801016&partnerID=40&md5=df815cfef93cec7da76855409d46bb7c https://irepository.uniten.edu.my/handle/123456789/22636 78 1016 All Open Access, Gold, Green EDP Sciences Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Ballistics; Display devices; Gate dielectrics; Graphene; Graphene devices; Graphene transistors; Hafnium oxides; High-k dielectric; Manufacture; Ohmic contacts; Reconfigurable hardware; Analytical expressions; Ballistic transports; Channel potential; Drain-induced barrier lowering; HIGH-K metal gates; Ideal ohmic contacts; Process characterization; Sub-threshold swing(ss); MOSFET devices
author2 56395444600
author_facet 56395444600
Noor Faizah Z.A.
Ahmad I.
Ker P.J.
Menon P.S.
format Conference Paper
author Noor Faizah Z.A.
Ahmad I.
Ker P.J.
Menon P.S.
spellingShingle Noor Faizah Z.A.
Ahmad I.
Ker P.J.
Menon P.S.
Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET
author_sort Noor Faizah Z.A.
title Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET
title_short Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET
title_full Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET
title_fullStr Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET
title_full_unstemmed Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET
title_sort process characterization of 32nm semi analytical bilayer graphene-based mosfet
publisher EDP Sciences
publishDate 2023
_version_ 1806428496568778752
score 13.222552