Abdul Hamid, Afifah Maheran and Mohd Nizam, Nur Hazwani Naili and Salehuddin, Fauziyah and Mohd Zain, Anis Suhaila and Zainul Abidin, Noor Faizah and Kaharudin, Khairil Ezwan (2023) Optimization of 14NM double gate Bi-GFET for lower leakage current. TELKOMNIKA Telecommunication Computing Electronics and Control, 21 (1). pp. 195-202. ISSN 1693-6930
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Abstract
In recent years, breakthroughs in electronics technology have upgraded the physical properties of the metal oxide semiconductor field effect transistor (MOSFET) toward smaller sizes and improvements in both quality and performance. Hence, the growth field effect transistor (GFET) is being promoted as one of the worthy candidates due to its superior material characteristics. A 14 nm horizontal double-gate bilayer graphene field effect transistor (FET) utilizing high-k and a metal gate, which are composed of hafnium dioxide (HfO2) and tungsten silicide (WSix) respectively. Silvaco ATHENA and ATLAS technology computer-aided design (TCAD) tools are used to simulate the design and electrical properties, while Taguchi L9 orthogonal arrays (OA) are used to optimize the electrical properties. The threshold voltage (VTH) adjustment implant dose, VTH adjustment implant energy, source/drain (S/D) implant dose, and S/D implant energy have all been investigated as process parameters, while the VTH adjustment tilt angle and the S/D implant tilt angle have been investigated as noise factors. When compared to the initial findings before optimization, the IOFF has a value of 29.579 nA/µm, indicating a significant improvement. Findings from the optimization technique demonstrate excellent device performance with an IOFF of 28.564 nA/µm, which is closer to the international technology roadmap for semiconductors (ITRS) 2013 target.
Item Type: | Article |
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Uncontrolled Keywords: | Bilayer graphene, Double gate MOSFET, High-k/metal gate, Leakage current, Taguchi |
Divisions: | Faculty of Electronics and Computer Engineering |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 24 Jun 2024 08:26 |
Last Modified: | 24 Jun 2024 08:26 |
URI: | http://eprints.utem.edu.my/id/eprint/27132 |
Statistic Details: | View Download Statistic |
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