DESIGN AND PERFORMANCE ASSESSMENT OF MULTIPLEXERS USING FINFETS

B.Nukambica Devi , V.S.R.V.Harini , P. Sasi Kiran , T.S.C.Kasi , Dr. Thoram Saran Kumar, .Nalla Ratna Priyanka

FinFET, Multiplexer, Short Channel Effects, Leakage Power, Power-Delay Product, Nanoelectronics.

With continuous CMOS technology scaling, conventional planar MOSFETs suffer from short channel effects, leakage current, and degraded subthreshold performance. Fin Field-Effect Transistor (FinFET) technology offers improved electrostatic control, reduced leakage, and enhanced drive current, making it a promising alternative for nanoscale digital circuits. This paper presents the design and performance evaluation of multiplexers implemented using FinFET technology. 2:1, 4:1, and 8:1 multiplexers are designed and simulated using predictive FinFET models at nanoscale technology nodes. Key performance metrics such as power consumption, propagation delay, and power-delay product (PDP) are analyzed and compared. The results demonstrate significant improvement in leakage power reduction and switching speed, validating the suitability of FinFETs for high-performance and low-power VLSI applications.

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"DESIGN AND PERFORMANCE ASSESSMENT OF MULTIPLEXERS USING FINFETS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 4, page no.e237-e244, April-2025, Available :https://ijsdr.org/papers/IJSDR2504425.pdf

Volume 10 Issue 4, April-2025

Pages : e237-e244

Paper Reg. ID: IJSDR_308658

Published Paper Id: IJSDR2504425

Downloads: 000120

Research Area: Science and Technology

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2504425

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2504425

DOI: https://doi.org/10.56975/ijsdr.v10i4.308658

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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