Investigation on Electromigration-Induced Failure and Reservoir Effect in AlCu Interconnects

Aluminum-copper alloy (AlCu) is commonly utilized as interconnect material in low-power devices. However, as the size of electronic devices continues to decrease and current density increases, electromigration (EM) has emerged as a significant reliability concern for AlCu interconnects in the microelectronics industry. In this study, two-level AlCu interconnect structures with a Ti/TiN barrier layer were fabricated using 0.18 μm technology to perform accelerated EM tests. The test samples were subjected to three current levels (1.45 mA, 2.40 mA and 5.30 mA) at three ambient temperatures (200 °C, 225 °C and 250 °C) to investigate the nucleation and evolution of voids during EM degradation and then obtain the mean time to failure (MTTF). The numerical simulation method of atomic density integral (ADI) was used to simulate experimental observations based on the ANSYS platform, considering the coupled effects of electron wind force, stress gradient, temperature gradient, and atomic density gradient. A comparison of the experimental results and numerical simulations proves that the ADI method can be applied successfully to EM failure prediction of AlCu interconnects. Finite element models with different reservoir lengths were built to demonstrate the mechanism of the reservoir effect. The results show that the reservoir can improve the EM lifetime of the interconnect, but there is a critical extension length beyond which increasing extension sizes have no effect on EM lifetime.

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Publication Details

Journal
Micromachines
Published
2025-04-13
DOI
https://doi.org/10.3390/mi16040458
Citations
2
Primary Topic
Copper Interconnects and Reliability
Type
article
Field-Weighted Citation Impact
0.85

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article

Investigation on Electromigration-Induced Failure and Reservoir Effect in AlCu Interconnects

Jingbo Zhao, Yuanxiang Zhang, Lihua Liang, Guoquan Jiang
2 citations
Micromachines
Copper Interconnects and Reliability
0.85
article

Investigation on Electromigration-Induced Failure and Reservoir Effect in AlCu Interconnects

Jingbo Zhao, Yuanxiang Zhang, Lihua Liang, Guoquan Jiang
article en
2 citations

Abstract

Aluminum-copper alloy (AlCu) is commonly utilized as interconnect material in low-power devices. However, as the size of electronic devices continues to decrease and current density increases, electromigration (EM) has emerged as a significant reliability concern for AlCu interconnects in the microelectronics industry. In this study, two-level AlCu interconnect structures with a Ti/TiN barrier layer were fabricated using 0.18 μm technology to perform accelerated EM tests. The test samples were subjected to three current levels (1.45 mA, 2.40 mA and 5.30 mA) at three ambient temperatures (200 °C, 225 °C and 250 °C) to investigate the nucleation and evolution of voids during EM degradation and then obtain the mean time to failure (MTTF). The numerical simulation method of atomic density integral (ADI) was used to simulate experimental observations based on the ANSYS platform, considering the coupled effects of electron wind force, stress gradient, temperature gradient, and atomic density gradient. A comparison of the experimental results and numerical simulations proves that the ADI method can be applied successfully to EM failure prediction of AlCu interconnects. Finite element models with different reservoir lengths were built to demonstrate the mechanism of the reservoir effect. The results show that the reservoir can improve the EM lifetime of the interconnect, but there is a critical extension length beyond which increasing extension sizes have no effect on EM lifetime.

MicromachinesVol. 16(4)
Quzhou University (CN), Zhejiang University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 29%
Copper Interconnects and Reliability
0.85
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Investigation on Electromigration-Induced Failure and Reservoir Effect in AlCu Interconnects — Jingbo Zhao, Yuanxiang Zhang, et al. · Micromachines (2025) | TGRS Research Map | TGRS