Cost-Effective Analytical Models of Resistive Opens Defects in FinFET Technology

FinFET technology has become an attractive candidate for high-performance and power-efficient applications. However, its susceptibility to defects increases due to the complexity of the process fabrications and smaller feature sizes. This article proposes compact and low-cost analytical models to evaluate the delay increase in FinFET-based circuits due to resistive open defects. The models rely on electrical simulations to precharacterize the circuit library. Analytical expressions are developed for the three types of resistive opens that may occur in FinFET-based logic cells using multifin and multifinger structures. These types of resistive opens include: a resistive open at the drain or source of the transistors (RODS), a resistive open affecting the gate of a single transistor, and a resistive open affecting the gates of both nMOS and pMOS transistors. Compact analytical models are also developed to evaluate the delay increase due to the resistive open defects under process variations. Independent and correlated process variations are taken into account. The analytical models have been validated against SPICE electrical simulations. The proposed analytical models can be used to evaluate the detectability of resistive open defects, significantly reducing the cost of dealing with different defect sizes. Potential applications of the developed analytical models are delineated. This work allows us to have higher quality and reliable electronic products.

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Publication Details

Journal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Published
2024-11-11
DOI
https://doi.org/10.1109/tvlsi.2024.3479068
Citations
2
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.42
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article

Cost-Effective Analytical Models of Resistive Opens Defects in FinFET Technology

Freddy Forero, Victor Champac, F. Azaı̈s, M. Renovell et al.
2 citations
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Integrated Circuits and Semiconductor Failure Analysis
0.42
article

Cost-Effective Analytical Models of Resistive Opens Defects in FinFET Technology

Freddy Forero, Victor Champac, F. Azaı̈s, M. Renovell, Mariane Comte, Gustavo Aguirre, Jean-Marc Gallière
article en
2 citations

Abstract

FinFET technology has become an attractive candidate for high-performance and power-efficient applications. However, its susceptibility to defects increases due to the complexity of the process fabrications and smaller feature sizes. This article proposes compact and low-cost analytical models to evaluate the delay increase in FinFET-based circuits due to resistive open defects. The models rely on electrical simulations to precharacterize the circuit library. Analytical expressions are developed for the three types of resistive opens that may occur in FinFET-based logic cells using multifin and multifinger structures. These types of resistive opens include: a resistive open at the drain or source of the transistors (RODS), a resistive open affecting the gate of a single transistor, and a resistive open affecting the gates of both nMOS and pMOS transistors. Compact analytical models are also developed to evaluate the delay increase due to the resistive open defects under process variations. Independent and correlated process variations are taken into account. The analytical models have been validated against SPICE electrical simulations. The proposed analytical models can be used to evaluate the detectability of resistive open defects, significantly reducing the cost of dealing with different defect sizes. Potential applications of the developed analytical models are delineated. This work allows us to have higher quality and reliable electronic products.

IEEE Transactions on Very Large Scale Integration (VLSI) SystemsVol. 33(3)
National Institute of Astrophysics, Optics and Electronics (MX), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
Openalex Percentile: Top 37%
Integrated Circuits and Semiconductor Failure Analysis
0.42
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