Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes

Abstract Vertically stacked horizontal nanosheet gate-all-around transistors seem to be one of the viable solutions toward scaling down below sub-7nm technology nodes. In this work, we compare electrical performance, including variability studies of several horizontal nanosheet transistors toward tr...

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Main Authors: E. Mohapatra, T. P. Dash, J. Jena, S. Das, C. K. Maiti
Format: Article
Language:English
Published: Springer 2021-04-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-021-04539-y
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author E. Mohapatra
T. P. Dash
J. Jena
S. Das
C. K. Maiti
author_facet E. Mohapatra
T. P. Dash
J. Jena
S. Das
C. K. Maiti
author_sort E. Mohapatra
collection DOAJ
description Abstract Vertically stacked horizontal nanosheet gate-all-around transistors seem to be one of the viable solutions toward scaling down below sub-7nm technology nodes. In this work, we compare electrical performance, including variability studies of several horizontal nanosheet transistors toward transistor structure optimization. We explore the impacts of nanosheet width and thickness on the electrical performance and outline important design guidelines necessary for vertically stacked nanosheet FETs. An increase in the complexity of the stacked nanosheet structures can lead to significant device variability. Using numerical simulation, we study the characteristics fluctuations induced by the random discrete dopants (RDD) and metal grain granularity (MGG) in nanosheet gate-all-around (GAA) transistors. We use 3-D quantum-mechanically corrected transport models in the simulation. It is observed that the σVTH due to MGG variability is 12% higher than RDD variability while the RDD variability strongly influences the I ON. The statistical simulation results predict that the presence of combined variability due to RDD and MGG strongly influences the threshold voltage variation (σVTH) in nanoscale devices. This approach may be applied to the different types of variability, the geometry of the device, including the vertical and lateral dimensions of the transistor, and biasing conditions.
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spelling doaj.art-66453b516d4546acadafa6a88beec25d2022-12-21T22:39:58ZengSpringerSN Applied Sciences2523-39632523-39712021-04-013511310.1007/s42452-021-04539-yDesign study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodesE. Mohapatra0T. P. Dash1J. Jena2S. Das3C. K. Maiti4Department of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan (Deemed to be University)Department of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan (Deemed to be University)Department of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan (Deemed to be University)Department of Electronics and Communication Engineering, Silicon Institute of TechnologyDepartment of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan (Deemed to be University)Abstract Vertically stacked horizontal nanosheet gate-all-around transistors seem to be one of the viable solutions toward scaling down below sub-7nm technology nodes. In this work, we compare electrical performance, including variability studies of several horizontal nanosheet transistors toward transistor structure optimization. We explore the impacts of nanosheet width and thickness on the electrical performance and outline important design guidelines necessary for vertically stacked nanosheet FETs. An increase in the complexity of the stacked nanosheet structures can lead to significant device variability. Using numerical simulation, we study the characteristics fluctuations induced by the random discrete dopants (RDD) and metal grain granularity (MGG) in nanosheet gate-all-around (GAA) transistors. We use 3-D quantum-mechanically corrected transport models in the simulation. It is observed that the σVTH due to MGG variability is 12% higher than RDD variability while the RDD variability strongly influences the I ON. The statistical simulation results predict that the presence of combined variability due to RDD and MGG strongly influences the threshold voltage variation (σVTH) in nanoscale devices. This approach may be applied to the different types of variability, the geometry of the device, including the vertical and lateral dimensions of the transistor, and biasing conditions.https://doi.org/10.1007/s42452-021-04539-yStacked nanosheet FETsGate-all-around (GAA)Random discrete dopants (RDD)Source/drain extensionMetal gate granularity (MGG)Variability
spellingShingle E. Mohapatra
T. P. Dash
J. Jena
S. Das
C. K. Maiti
Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes
SN Applied Sciences
Stacked nanosheet FETs
Gate-all-around (GAA)
Random discrete dopants (RDD)
Source/drain extension
Metal gate granularity (MGG)
Variability
title Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes
title_full Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes
title_fullStr Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes
title_full_unstemmed Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes
title_short Design study of gate-all-around vertically stacked nanosheet FETs for sub-7nm nodes
title_sort design study of gate all around vertically stacked nanosheet fets for sub 7nm nodes
topic Stacked nanosheet FETs
Gate-all-around (GAA)
Random discrete dopants (RDD)
Source/drain extension
Metal gate granularity (MGG)
Variability
url https://doi.org/10.1007/s42452-021-04539-y
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