Benchmarking of FinFET, Nanosheet, and Nanowire FET Architectures for Future Technology Nodes
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Nanosheet (NS) and nanowire (NW) FET architectures scaled to a gate length (L G ) of 16 nm and below are benchmarked against equivalent FinFETs. The device performance is predicted using a 3D finite element drift-diffusion/Monte Carlo simulation toolbox with integrated 2D Schrödinger equation based quantum corrections. The NS FET is a viable replacement for the FinFET in high performance (HP) applications when scaled down to L G of 16 nm offering a larger on-current (I ON ) and slightly better sub-threshold characteristics. Below L G of 16 nm, the NW FET becomes the most promising architecture offering an almost ideal sub-threshold swing, the smallest off-current (I OFF ), and the largest I ON /I OFF ratio out of the three architectures. However, the NW FET suffers from early ION saturation with the increasing gate bias that can be tackled by minimizing interface roughness and/or by optimisation of a doping profile in the device body
Description
Bibliographic citation
D. Nagy, G. Espiñeira, G. Indalecio, A. J. García-Loureiro, K. Kalna and N. Seoane, "Benchmarking of FinFET, Nanosheet, and Nanowire FET Architectures for Future Technology Nodes," in IEEE Access, vol. 8, pp. 53196-53202, 2020, doi: 10.1109/ACCESS.2020.2980925.
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.1109/ACCESS.2020.2980925Sponsors
This work was supported in part by the Spanish Government under Project TIN2013-41129-P and Project TIN2016-76373-P, in part by the Xunta de Galicia and FEDER Funds under Grant GRC 2014/008, and in part by the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016–2019) under Grant ED431G/08. The work of Guillermo Indalecio was supported by the Programa de Axudas á Etapa Posdoutoral da Xunta de Galicia under Grant 2017/077. The work of Natalia Seoane was supported by the RyC
Programme of the Spanish Ministerio de Ciencia, Innovación y Universidades under Grant RYC-2017-23312
Rights
© The Author(s) 2020. Open Access. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional
Atribución 4.0 Internacional








