FinFET Versus Gate-All-Around Nanowire FET: Performance, Scaling, and Variability

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Performance, scalability, and resilience to variability of Si SOI FinFETs and gate-all-around (GAA) nanowires (NWs) are studied using in-house-built 3-D simulation tools. Two experimentally based devices, a 25-nm gate length FinFET and a 22-nm GAA NW are modeled and then scaled down to 10.7and 10-nm gate lengths, respectively. A TiN metal gate work-function granularity (MGG) and line edge roughness (LER) induced variability affecting OFF and ON characteristics are investigated and compared. In the OFF-region, the FinFETs have over an order of magnitude larger OFF-current that those of the equivalent GAA NWs. In the ON-region, the 25/10.7-nm gate length FinFETs deliver 20/58% larger ON-current than the 22/10-nm gate length GAA NWs. The FinFETs are more resilient to the MGG and LER variability in the subthreshold compared to the GAA NWs. However, the MGG ON-current variability is larger for the 10.7-nm FinFET than that for the 10-nm GAA NW. The LER ON-current variability depends largely on the RMS height; whereas a 0.6-nm RMS height yields a similar variability for both FinFETs and GAA NWs. Finally, the industry preferred (110) channel orientation is more resilient to the MGG and LER variability in both architectures.

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Nagy, D., Indalecio, G., García-Loureiro, A. J., Elmessary, M. A., Kalna, K., and Seoane, N. (2018). FinFET versus gate-all-around nanowire FET: performance, scaling, and variability. IEEE Journal of the Electron Devices Society, 6, 332-340. https://dx.doi.org/10.1109/JEDS.2018.2804383

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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 under Grant GRC 2014/008, in part by the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016–2019) under Grant ED431G/08, and in part by the Spanish Ministry of Economy and Competitiveness and FEDER under Grant TEC2014-59402-JIN. The work of G. Indalecio was supported by the Programa de Axudas Etapa Posdoutoral da Xunta de Galicia under Grant 2017/077

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