Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations

Standard analysis of variability sources in nanodevices lacks information about the spatial influence of the variability. However, this spatial information is paramount for the industry and academia to improve the design of variability-resistant architectures. A recently developed technique, the flu...

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Autores principales: Guillermo Indalecio, Antonio J. Garcia-Loureiro, Muhammad A. Elmessary, Karol Kalna, Natalia Seoane
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Lenguaje:EN
Publicado: IEEE 2018
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spelling oai:doaj.org-article:caf875cd78c84318ad4d4b5049fe85a82021-11-19T00:00:40ZSpatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations2168-673410.1109/JEDS.2018.2828504https://doaj.org/article/caf875cd78c84318ad4d4b5049fe85a82018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8341803/https://doaj.org/toc/2168-6734Standard analysis of variability sources in nanodevices lacks information about the spatial influence of the variability. However, this spatial information is paramount for the industry and academia to improve the design of variability-resistant architectures. A recently developed technique, the fluctuation sensitivity map (FSM) is used to analyze the spatial effect of the line edge roughness (LER) variability in key figures-of-merit (FoM) in silicon gate-all-around (GAA) nanowire (NW) FETs. This technique gives insight about the local sensitivity identifying the regions inducing the strongest variability into the FoM. We analyze both 22 and 10 nm gate length GAA NW FETs affected by the LER with different amplitudes (0.6, 0.7, and 0.85 nm) and correlation lengths (10 and 20 nm) using in-house 3-D quantum-corrected drift-diffusion simulation tool calibrated against experimental or Monte Carlo data. The FSM finds that the gate is the most sensitive region to LER deformations. We demonstrate that the specific location of the deformation inside the gate plays an important role in the performance and that the effect of the location is also dependent on the FoM analyzed. Moreover, there is a negligible impact on the device performance if the LER deformation occurs in the source or drain region. Si GAA nanowire, variability sources, line-edge roughness (LER), spatial sensitivity, density gradient (DG) quantum corrections.Guillermo IndalecioAntonio J. Garcia-LoureiroMuhammad A. ElmessaryKarol KalnaNatalia SeoaneIEEEarticleSi GAA nanowirevariability sourcesline-edge roughness (LER)spatial sensitivitydensity gradient (DG) quantum correctionsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Journal of the Electron Devices Society, Vol 6, Pp 601-610 (2018)
institution DOAJ
collection DOAJ
language EN
topic Si GAA nanowire
variability sources
line-edge roughness (LER)
spatial sensitivity
density gradient (DG) quantum corrections
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Si GAA nanowire
variability sources
line-edge roughness (LER)
spatial sensitivity
density gradient (DG) quantum corrections
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Guillermo Indalecio
Antonio J. Garcia-Loureiro
Muhammad A. Elmessary
Karol Kalna
Natalia Seoane
Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations
description Standard analysis of variability sources in nanodevices lacks information about the spatial influence of the variability. However, this spatial information is paramount for the industry and academia to improve the design of variability-resistant architectures. A recently developed technique, the fluctuation sensitivity map (FSM) is used to analyze the spatial effect of the line edge roughness (LER) variability in key figures-of-merit (FoM) in silicon gate-all-around (GAA) nanowire (NW) FETs. This technique gives insight about the local sensitivity identifying the regions inducing the strongest variability into the FoM. We analyze both 22 and 10 nm gate length GAA NW FETs affected by the LER with different amplitudes (0.6, 0.7, and 0.85 nm) and correlation lengths (10 and 20 nm) using in-house 3-D quantum-corrected drift-diffusion simulation tool calibrated against experimental or Monte Carlo data. The FSM finds that the gate is the most sensitive region to LER deformations. We demonstrate that the specific location of the deformation inside the gate plays an important role in the performance and that the effect of the location is also dependent on the FoM analyzed. Moreover, there is a negligible impact on the device performance if the LER deformation occurs in the source or drain region. Si GAA nanowire, variability sources, line-edge roughness (LER), spatial sensitivity, density gradient (DG) quantum corrections.
format article
author Guillermo Indalecio
Antonio J. Garcia-Loureiro
Muhammad A. Elmessary
Karol Kalna
Natalia Seoane
author_facet Guillermo Indalecio
Antonio J. Garcia-Loureiro
Muhammad A. Elmessary
Karol Kalna
Natalia Seoane
author_sort Guillermo Indalecio
title Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations
title_short Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations
title_full Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations
title_fullStr Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations
title_full_unstemmed Spatial Sensitivity of Silicon GAA Nanowire FETs Under Line Edge Roughness Variations
title_sort spatial sensitivity of silicon gaa nanowire fets under line edge roughness variations
publisher IEEE
publishDate 2018
url https://doaj.org/article/caf875cd78c84318ad4d4b5049fe85a8
work_keys_str_mv AT guillermoindalecio spatialsensitivityofsilicongaananowirefetsunderlineedgeroughnessvariations
AT antoniojgarcialoureiro spatialsensitivityofsilicongaananowirefetsunderlineedgeroughnessvariations
AT muhammadaelmessary spatialsensitivityofsilicongaananowirefetsunderlineedgeroughnessvariations
AT karolkalna spatialsensitivityofsilicongaananowirefetsunderlineedgeroughnessvariations
AT nataliaseoane spatialsensitivityofsilicongaananowirefetsunderlineedgeroughnessvariations
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