Journal of Infrared and Millimeter Waves, Volume. 43, Issue 3, 1(2024)
Metal microstrip line defect detection of chip based on THz-TDR technology
The current main detection methods for packaging chip defects with small size, dense wiring, and high integration have drawbacks such as low accuracy and long cycle time. To compensate for the shortcomings of traditional detection methods, this study combines terahertz technology with time-domain reflection technology to explore the feasibility of detecting metal wire defects on chips. Firstly, different proportions of convex defects and concave defects were processed on metal microstrip lines of different widths to simulate incomplete opening/short circuits of metal wires in integrated chips. The time-domain reflection signals were collected using a terahertz time-domain reflectometer. Then, qualitative analysis was conducted on different defect degrees and types based on the corresponding time of time-domain reflection pulses, and the defect positions of the metal wires on the chip were accurately calculated. Finally, the finite element analysis method was used to simulate and analyze the metal wires with defects on the silicon substrate, which showed perfect consistency with the experimental results. This research shows that the combined terahertz technology with time-domain reflection technology can achieve the diagnosis and detection of metal wire defects on chips, providing an empirical reference for defect detection in integrated chips.
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Zhen XU, De-Gang XU, Long-Hai LIU, Ji-Ning LI, Jia-Xin ZHANG, Tan WANG, Xiang REN, Xiu-Ming QIAO, Chen JIANG. Metal microstrip line defect detection of chip based on THz-TDR technology[J]. Journal of Infrared and Millimeter Waves, 2024, 43(3): 1
Category: Research Articles
Received: Sep. 7, 2023
Accepted: --
Published Online: Apr. 29, 2024
The Author Email: Ji-Ning LI (jiningli@tju.edu.cn)