Self-Heating Effect Coupled Compact Model to Predict Hot Carrier Injection Degradation in Nanoscale Bulk FinFETs Under Different Conditions

The HCI effect has been the focus of research as a common reliability consideration under advanced nodes in semiconductors. In this paper, a new compact model that takes into account the self-heating effect, width dependence, and substrate voltage dependence is proposed in the framework of a self-saturated power–law model containing oxide defects. The compact model employs different parameters in different carrier energy regions to improve the accuracy of the model. The predictions of the model fit well with experimental data extracted from the literature and the TCAD data, proving the validity of the model. Meanwhile, the model is used in this paper to predict and analyze the HCI’s degradation as well as lifetime under different conditions.

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Publication Details

Journal
Applied Sciences
Published
2025-02-22
DOI
https://doi.org/10.3390/app15052351
Citations
1
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.73

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article

Self-Heating Effect Coupled Compact Model to Predict Hot Carrier Injection Degradation in Nanoscale Bulk FinFETs Under Different Conditions

Bingrui Liu, Lan Chen
1 citations
Applied Sciences
Advancements in Semiconductor Devices and Circuit Design
0.73
article

Self-Heating Effect Coupled Compact Model to Predict Hot Carrier Injection Degradation in Nanoscale Bulk FinFETs Under Different Conditions

Bingrui Liu, Lan Chen
article en
1 citations

Abstract

The HCI effect has been the focus of research as a common reliability consideration under advanced nodes in semiconductors. In this paper, a new compact model that takes into account the self-heating effect, width dependence, and substrate voltage dependence is proposed in the framework of a self-saturated power–law model containing oxide defects. The compact model employs different parameters in different carrier energy regions to improve the accuracy of the model. The predictions of the model fit well with experimental data extracted from the literature and the TCAD data, proving the validity of the model. Meanwhile, the model is used in this paper to predict and analyze the HCI’s degradation as well as lifetime under different conditions.

Applied SciencesVol. 15(5)
Chinese Academy of Sciences (CN), Institute of Microelectronics (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 31%
Advancements in Semiconductor Devices and Circuit Design
0.73
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