Optimization of process parameter variability in 45 nm PMOS device using Taguchi method

This study reports on an investigation of the effect and optimization of process parameter variability on poly sheet resistance (Rs) and leakage current (ILeak) in 45 nm PMOS device. The experimental studies were conducted under varying four process parameters, namely Halo implantation, Source/Drain...

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Main Authors: Salehuddin F., Ahmad I., Hamid F.A., Zaharim A.
Other Authors: 36239165300
Format: Article
Published: 2023
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spelling my.uniten.dspace-305282023-12-29T15:48:57Z Optimization of process parameter variability in 45 nm PMOS device using Taguchi method Salehuddin F. Ahmad I. Hamid F.A. Zaharim A. 36239165300 12792216600 6603573875 15119466900 45 nm PMOS device Optimization Silvaco Taguchi method Variability This study reports on an investigation of the effect and optimization of process parameter variability on poly sheet resistance (Rs) and leakage current (ILeak) in 45 nm PMOS device. The experimental studies were conducted under varying four process parameters, namely Halo implantation, Source/Drain Implantation, Oxide Growth Temperature and Silicide Anneal Temperature. Taguchi Method was used to determine the settings of process parameters. The level of importance of the process parameters on the poly sheet resistance and leakage current were determined by using Analysis of Variance (ANOVA). Virtual fabrication of the devices was performed by using ATHENA module. While the electrical characterization of the devices was implemented by using ATLAS module. The optimum process parameter combination was obtained by using the analysis of Signal-to-Noise (S/N) ratio. The confirmation tests indicated that it is possible to decrease the poly sheet resistance and leakage current significantly by using the Taguchi method. The results show that the Rs and ILeak after optimizations approaches are 67.53 ?, sq-1 and 0.1850 m A ?m-1, respectively. In this study, S/D implantation was identified as one of the process parameters that has the strongest effect on the response characteristics. � 2011 Asian Network for Scientific Information. Final 2023-12-29T07:48:57Z 2023-12-29T07:48:57Z 2011 Article 10.3923/jas.2011.1261.1266 2-s2.0-79953304756 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953304756&doi=10.3923%2fjas.2011.1261.1266&partnerID=40&md5=cb13db53750cf279bca3c073b1ba2e6c https://irepository.uniten.edu.my/handle/123456789/30528 11 7 1261 1266 All Open Access; Bronze Open Access 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/
topic 45 nm PMOS device
Optimization
Silvaco
Taguchi method
Variability
spellingShingle 45 nm PMOS device
Optimization
Silvaco
Taguchi method
Variability
Salehuddin F.
Ahmad I.
Hamid F.A.
Zaharim A.
Optimization of process parameter variability in 45 nm PMOS device using Taguchi method
description This study reports on an investigation of the effect and optimization of process parameter variability on poly sheet resistance (Rs) and leakage current (ILeak) in 45 nm PMOS device. The experimental studies were conducted under varying four process parameters, namely Halo implantation, Source/Drain Implantation, Oxide Growth Temperature and Silicide Anneal Temperature. Taguchi Method was used to determine the settings of process parameters. The level of importance of the process parameters on the poly sheet resistance and leakage current were determined by using Analysis of Variance (ANOVA). Virtual fabrication of the devices was performed by using ATHENA module. While the electrical characterization of the devices was implemented by using ATLAS module. The optimum process parameter combination was obtained by using the analysis of Signal-to-Noise (S/N) ratio. The confirmation tests indicated that it is possible to decrease the poly sheet resistance and leakage current significantly by using the Taguchi method. The results show that the Rs and ILeak after optimizations approaches are 67.53 ?, sq-1 and 0.1850 m A ?m-1, respectively. In this study, S/D implantation was identified as one of the process parameters that has the strongest effect on the response characteristics. � 2011 Asian Network for Scientific Information.
author2 36239165300
author_facet 36239165300
Salehuddin F.
Ahmad I.
Hamid F.A.
Zaharim A.
format Article
author Salehuddin F.
Ahmad I.
Hamid F.A.
Zaharim A.
author_sort Salehuddin F.
title Optimization of process parameter variability in 45 nm PMOS device using Taguchi method
title_short Optimization of process parameter variability in 45 nm PMOS device using Taguchi method
title_full Optimization of process parameter variability in 45 nm PMOS device using Taguchi method
title_fullStr Optimization of process parameter variability in 45 nm PMOS device using Taguchi method
title_full_unstemmed Optimization of process parameter variability in 45 nm PMOS device using Taguchi method
title_sort optimization of process parameter variability in 45 nm pmos device using taguchi method
publishDate 2023
_version_ 1806427815402274816
score 13.214268