Yong, Jie Ying and Johari, Zaharah (2023) Simulation and characterization of carbon nanotube-based 2:1 multiplexer electrical properties. In: 1st International Conference on Electronic and Computer Engineering, ECE 2023, 4 July 2023 - 5 July 2023, Virtual, UTM Johor Bahru, Johor, Malaysia.
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Official URL: http://dx.doi.org/10.1088/1742-6596/2622/1/012023
Abstract
This paper reports on using simulation to characterize a Carbon Nanotube (CNT) based 2:1 multiplexer (MUX). This study aimed to evaluate the electrical properties, particularly the propagation delay, average power consumption, Power-Delay Product (PDP), and Energy-Delay Product (EDP). Different design approaches namely conventional CMOS, Pass Transistor Logic (PTL) approach, and Gate Diffusion Input (GDI) were adopted. The voltage supply (VDD) and diameter of the CNT are varied to see the effect on the electrical properties. The simulation was carried out using HSPICE. Through simulation, it is found that the GDI approach used the least number of transistors followed by PTL and CMOS. The calculation of the propagation delay exhibits a substantial improvement of more than 95% using the GDI approach. The average power consumption shows a 55.30% and 35.16% reduction when compared to CMOS and PTL respectively. The PDP demonstrates an improvement of more than 95% when compared with conventional CMOS and PTL approaches. The same trend of observation is also achieved for EDP. The variation of the VDD and chirality has a markable effect on the propagation delay and average power consumption. This is a preliminary attempt to evaluate the performance of CNT implementation in MUX. The outcome can become the guideline for engineers working in circuit design using emerging materials for future nanoelectronics applications.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | design approaches, energy delay product, pass-transistor logic |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 107838 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 08 Oct 2024 06:14 |
Last Modified: | 08 Oct 2024 06:14 |
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