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Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers

The design of the Ternary Full Adders (TFA) employing Carbon Nanotube Field-Effect Transistors (CNFET) has been widely presented in the literature. To obtain the optimal design of these ternary adders, we propose two new different designs, TFA1 with 59 CNFETs and TFA2 with 55 CNFETs, that use unary...

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Detalles Bibliográficos
Autores principales: Jaber, Ramzi A., Haidar, Ali M., Kassem, Abdallah, Zahoor, Furqan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224103/
https://www.ncbi.nlm.nih.gov/pubmed/37241687
http://dx.doi.org/10.3390/mi14051064
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author Jaber, Ramzi A.
Haidar, Ali M.
Kassem, Abdallah
Zahoor, Furqan
author_facet Jaber, Ramzi A.
Haidar, Ali M.
Kassem, Abdallah
Zahoor, Furqan
author_sort Jaber, Ramzi A.
collection PubMed
description The design of the Ternary Full Adders (TFA) employing Carbon Nanotube Field-Effect Transistors (CNFET) has been widely presented in the literature. To obtain the optimal design of these ternary adders, we propose two new different designs, TFA1 with 59 CNFETs and TFA2 with 55 CNFETs, that use unary operator gates with two voltage supplies ([Formula: see text] and [Formula: see text]) to reduce the transistor count and energy consumption. In addition, this paper proposes two 4-trit Ripple Carry Adders (RCA) based on the two proposed TFA1 and TFA2; we use the HSPICE simulator and 32 nm CNFET to simulate the proposed circuits under different voltages, temperatures, and output loads. The simulation results show the improvements of the designs in a reduction of over 41% in energy consumption (PDP), and over 64% in Energy Delay Product (EDP) compared to the best recent works in the literature.
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spelling pubmed-102241032023-05-28 Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers Jaber, Ramzi A. Haidar, Ali M. Kassem, Abdallah Zahoor, Furqan Micromachines (Basel) Article The design of the Ternary Full Adders (TFA) employing Carbon Nanotube Field-Effect Transistors (CNFET) has been widely presented in the literature. To obtain the optimal design of these ternary adders, we propose two new different designs, TFA1 with 59 CNFETs and TFA2 with 55 CNFETs, that use unary operator gates with two voltage supplies ([Formula: see text] and [Formula: see text]) to reduce the transistor count and energy consumption. In addition, this paper proposes two 4-trit Ripple Carry Adders (RCA) based on the two proposed TFA1 and TFA2; we use the HSPICE simulator and 32 nm CNFET to simulate the proposed circuits under different voltages, temperatures, and output loads. The simulation results show the improvements of the designs in a reduction of over 41% in energy consumption (PDP), and over 64% in Energy Delay Product (EDP) compared to the best recent works in the literature. MDPI 2023-05-17 /pmc/articles/PMC10224103/ /pubmed/37241687 http://dx.doi.org/10.3390/mi14051064 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jaber, Ramzi A.
Haidar, Ali M.
Kassem, Abdallah
Zahoor, Furqan
Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
title Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
title_full Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
title_fullStr Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
title_full_unstemmed Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
title_short Ternary Full Adder Designs Employing Unary Operators and Ternary Multiplexers
title_sort ternary full adder designs employing unary operators and ternary multiplexers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224103/
https://www.ncbi.nlm.nih.gov/pubmed/37241687
http://dx.doi.org/10.3390/mi14051064
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