Off-State TDDB Degradation of RC-Features and Threshold Voltage on Advanced FinFETs from RF Measurements for 5G Applications

The degradation effects on the RC characteristics of nanometer-scale FinFETs under off-state time-dependent dielectric breakdown (TDDB) conditions are quantified. We assess the impact of long-term stress on device performance by determining extrinsic resistances, channel resistance, and gate-to-drain and gate-to-source capacitances from S-parameter measurements at various gate biases, monitoring their changes over time. Moreover, through further processing of the S-parameters, we monitor the increase in threshold voltage during degradation. Since the increase in resistance, the introduction of parasitic capacitance due to charge trapping/detrapping effects, and the rise in threshold voltage can severely compromise finFET performance in high-demand applications, our RF-measurement-based methodology serves as a valuable tool for device assessment intended for advanced technologies like 5G, where efficiency and signal integrity are paramount. The extracted parameters enable excellent model-experiment correlation for Z-parameters up to 30 GHz across different degradation stages.

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Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10982867
Primary Topic
Semiconductor materials and devices
Type
article
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article

Off-State TDDB Degradation of RC-Features and Threshold Voltage on Advanced FinFETs from RF Measurements for 5G Applications

Reydezel Torres‐Torres, P. Srinivasan, Edmundo A. Gutiérrez-D, Alan Y. Otero-Carrascal et al.
1 links
Semiconductor materials and devices
article

Off-State TDDB Degradation of RC-Features and Threshold Voltage on Advanced FinFETs from RF Measurements for 5G Applications

Reydezel Torres‐Torres, P. Srinivasan, Edmundo A. Gutiérrez-D, Alan Y. Otero-Carrascal, Oscar Huerta-Gonzalez, Héctor Uribe
article en

Abstract

The degradation effects on the RC characteristics of nanometer-scale FinFETs under off-state time-dependent dielectric breakdown (TDDB) conditions are quantified. We assess the impact of long-term stress on device performance by determining extrinsic resistances, channel resistance, and gate-to-drain and gate-to-source capacitances from S-parameter measurements at various gate biases, monitoring their changes over time. Moreover, through further processing of the S-parameters, we monitor the increase in threshold voltage during degradation. Since the increase in resistance, the introduction of parasitic capacitance due to charge trapping/detrapping effects, and the rise in threshold voltage can severely compromise finFET performance in high-demand applications, our RF-measurement-based methodology serves as a valuable tool for device assessment intended for advanced technologies like 5G, where efficiency and signal integrity are paramount. The extracted parameters enable excellent model-experiment correlation for Z-parameters up to 30 GHz across different degradation stages.

GlobalFoundries (United States) (US), National Institute of Astrophysics, Optics and Electronics (MX)
Affordable and clean energy
Openalex Percentile: Top 91%
Semiconductor materials and devices
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