Cargando…
A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effec...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695869/ https://www.ncbi.nlm.nih.gov/pubmed/31357496 http://dx.doi.org/10.3390/ma12152391 |
_version_ | 1783444136196571136 |
---|---|
author | Seoane, Natalia Nagy, Daniel Indalecio, Guillermo Espiñeira, Gabriel Kalna, Karol García-Loureiro, Antonio |
author_facet | Seoane, Natalia Nagy, Daniel Indalecio, Guillermo Espiñeira, Gabriel Kalna, Karol García-Loureiro, Antonio |
author_sort | Seoane, Natalia |
collection | PubMed |
description | An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effect transistor is selected as a benchmark device. The device exhibits an off-current ([Formula: see text]) of [Formula: see text] [Formula: see text] A/ [Formula: see text] m, and an on-current ([Formula: see text]) of 1770 [Formula: see text] A/ [Formula: see text] m, with the [Formula: see text] ratio [Formula: see text] , a value [Formula: see text] larger than that of a [Formula: see text] nm gate length Si FinFET. The device SS is 71 mV/dec, no far from the ideal limit of 60 mV/dec. The threshold voltage standard deviation due to statistical combination of four sources of variability (line- and gate-edge roughness, metal grain granularity, and random dopants) is [Formula: see text] mV, a value noticeably larger than that of the equivalent FinFET (30 mV). Finally, using a fluctuation sensitivity map, we establish which regions of the device are the most sensitive to the line-edge roughness and the metal grain granularity variability effects. The on-current of the device is strongly affected by any line-edge roughness taking place near the source-gate junction or by metal grains localised between the middle of the gate and the proximity of the gate-source junction. |
format | Online Article Text |
id | pubmed-6695869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66958692019-09-05 A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs Seoane, Natalia Nagy, Daniel Indalecio, Guillermo Espiñeira, Gabriel Kalna, Karol García-Loureiro, Antonio Materials (Basel) Article An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effect transistor is selected as a benchmark device. The device exhibits an off-current ([Formula: see text]) of [Formula: see text] [Formula: see text] A/ [Formula: see text] m, and an on-current ([Formula: see text]) of 1770 [Formula: see text] A/ [Formula: see text] m, with the [Formula: see text] ratio [Formula: see text] , a value [Formula: see text] larger than that of a [Formula: see text] nm gate length Si FinFET. The device SS is 71 mV/dec, no far from the ideal limit of 60 mV/dec. The threshold voltage standard deviation due to statistical combination of four sources of variability (line- and gate-edge roughness, metal grain granularity, and random dopants) is [Formula: see text] mV, a value noticeably larger than that of the equivalent FinFET (30 mV). Finally, using a fluctuation sensitivity map, we establish which regions of the device are the most sensitive to the line-edge roughness and the metal grain granularity variability effects. The on-current of the device is strongly affected by any line-edge roughness taking place near the source-gate junction or by metal grains localised between the middle of the gate and the proximity of the gate-source junction. MDPI 2019-07-26 /pmc/articles/PMC6695869/ /pubmed/31357496 http://dx.doi.org/10.3390/ma12152391 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Seoane, Natalia Nagy, Daniel Indalecio, Guillermo Espiñeira, Gabriel Kalna, Karol García-Loureiro, Antonio A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs |
title | A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs |
title_full | A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs |
title_fullStr | A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs |
title_full_unstemmed | A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs |
title_short | A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs |
title_sort | multi-method simulation toolbox to study performance and variability of nanowire fets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695869/ https://www.ncbi.nlm.nih.gov/pubmed/31357496 http://dx.doi.org/10.3390/ma12152391 |
work_keys_str_mv | AT seoanenatalia amultimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT nagydaniel amultimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT indalecioguillermo amultimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT espineiragabriel amultimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT kalnakarol amultimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT garcialoureiroantonio amultimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT seoanenatalia multimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT nagydaniel multimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT indalecioguillermo multimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT espineiragabriel multimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT kalnakarol multimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets AT garcialoureiroantonio multimethodsimulationtoolboxtostudyperformanceandvariabilityofnanowirefets |