Threshold voltage optimization in a 22nm High-k/Salicide PMOS device
In this article, we examine the effect of four process parameters and two noise parameters on the threshold voltage (Vth) of a 22nm gate length PMOS device. The gate of the device uses titanium dioxide (TiO2) as the high permittivity material (high-k) layer to replace the traditional silicon dioxide...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Conference paper |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-29435 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-294352023-12-28T12:13:04Z Threshold voltage optimization in a 22nm High-k/Salicide PMOS device Afifah Maheran A.H. Menon P.S. Ahmad I. Yusoff Z. 36570222300 57201289731 12792216600 19934514100 22 nm gate length PMOS high-k/SALICIDE Taguchi Method threshold voltage Optimization Signal to noise ratio Silicides Taguchi methods Titanium dioxide Electrical characterization Gate electrode resistance Gate length High-k dielectric layers high-k/SALICIDE High-permittivity material International Technology Roadmap for Semiconductors Signaltonoise ratio (SNR) Threshold voltage In this article, we examine the effect of four process parameters and two noise parameters on the threshold voltage (Vth) of a 22nm gate length PMOS device. The gate of the device uses titanium dioxide (TiO2) as the high permittivity material (high-k) layer to replace the traditional silicon dioxide (SiO2) dielectric layer. While the polysilicon (poly-Si) which is also known as self-aligned silicide (SALICIDE) layer, is deposited on top of the high-k dielectric layer and is used to reduce the gate electrode resistance. The virtual fabrication device was designed using the ATHENA and electrical characterization was simulated using ATLAS. These two simulators were combined with the L9 Taguchi's experimental design to aid in the design and optimization of the process parameters for a total of 36 simulation runs. The objective is to minimize the variance in Vth using Taguchi's nominal-the-best signal-to-noise ratio (SNR) analysis. Analysis of the mean (ANOM) was used to determine the best settings for the process parameters while Analysis of variance (ANOVA) was used to reduce the variability of V th. The results show that the Vth values with the least variance is -0.289 V � 12.7% which is well within the prediction by the International Technology Roadmap for Semiconductors (ITRS) 2011. � 2013 IEEE. Final 2023-12-28T04:13:04Z 2023-12-28T04:13:04Z 2013 Conference paper 10.1109/RSM.2013.6706489 2-s2.0-84893619716 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893619716&doi=10.1109%2fRSM.2013.6706489&partnerID=40&md5=19ac59f58bdd8d8790e56c6fae4abc67 https://irepository.uniten.edu.my/handle/123456789/29435 6706489 126 129 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 |
22 nm gate length PMOS high-k/SALICIDE Taguchi Method threshold voltage Optimization Signal to noise ratio Silicides Taguchi methods Titanium dioxide Electrical characterization Gate electrode resistance Gate length High-k dielectric layers high-k/SALICIDE High-permittivity material International Technology Roadmap for Semiconductors Signaltonoise ratio (SNR) Threshold voltage |
spellingShingle |
22 nm gate length PMOS high-k/SALICIDE Taguchi Method threshold voltage Optimization Signal to noise ratio Silicides Taguchi methods Titanium dioxide Electrical characterization Gate electrode resistance Gate length High-k dielectric layers high-k/SALICIDE High-permittivity material International Technology Roadmap for Semiconductors Signaltonoise ratio (SNR) Threshold voltage Afifah Maheran A.H. Menon P.S. Ahmad I. Yusoff Z. Threshold voltage optimization in a 22nm High-k/Salicide PMOS device |
description |
In this article, we examine the effect of four process parameters and two noise parameters on the threshold voltage (Vth) of a 22nm gate length PMOS device. The gate of the device uses titanium dioxide (TiO2) as the high permittivity material (high-k) layer to replace the traditional silicon dioxide (SiO2) dielectric layer. While the polysilicon (poly-Si) which is also known as self-aligned silicide (SALICIDE) layer, is deposited on top of the high-k dielectric layer and is used to reduce the gate electrode resistance. The virtual fabrication device was designed using the ATHENA and electrical characterization was simulated using ATLAS. These two simulators were combined with the L9 Taguchi's experimental design to aid in the design and optimization of the process parameters for a total of 36 simulation runs. The objective is to minimize the variance in Vth using Taguchi's nominal-the-best signal-to-noise ratio (SNR) analysis. Analysis of the mean (ANOM) was used to determine the best settings for the process parameters while Analysis of variance (ANOVA) was used to reduce the variability of V th. The results show that the Vth values with the least variance is -0.289 V � 12.7% which is well within the prediction by the International Technology Roadmap for Semiconductors (ITRS) 2011. � 2013 IEEE. |
author2 |
36570222300 |
author_facet |
36570222300 Afifah Maheran A.H. Menon P.S. Ahmad I. Yusoff Z. |
format |
Conference paper |
author |
Afifah Maheran A.H. Menon P.S. Ahmad I. Yusoff Z. |
author_sort |
Afifah Maheran A.H. |
title |
Threshold voltage optimization in a 22nm High-k/Salicide PMOS device |
title_short |
Threshold voltage optimization in a 22nm High-k/Salicide PMOS device |
title_full |
Threshold voltage optimization in a 22nm High-k/Salicide PMOS device |
title_fullStr |
Threshold voltage optimization in a 22nm High-k/Salicide PMOS device |
title_full_unstemmed |
Threshold voltage optimization in a 22nm High-k/Salicide PMOS device |
title_sort |
threshold voltage optimization in a 22nm high-k/salicide pmos device |
publishDate |
2023 |
_version_ |
1806428181130903552 |
score |
13.214268 |