Volumetric nondestructive metrology for 3D semiconductor packaging: A review

被引:1
|
作者
Su, Yutai [1 ]
Shi, Jing [1 ]
Hsu, Yuan-Ming [2 ]
Ji, Dai-Yan [3 ]
Suer, Alexander David [2 ]
Lee, Jay [3 ]
机构
[1] Univ Cincinnati, Coll Engn & Appl Sci, Dept Mech & Mat Engn, Cincinnati, OH 45221 USA
[2] Univ Cincinnati, Coll Engn & Appl Sci, Ctr Intelligent Maintenance Syst, Dept Mech & Mat Engn, Cincinnati, OH 45221 USA
[3] Univ Maryland, Ctr Ind Artificial Intelligence, Dept Mech Engn, College Pk, MD 20742 USA
关键词
3D packaging; Semiconductor manufacturing; Volumetric nondestructive testing; Metrology; Artificial intelligence; HIGH-RESOLUTION; NEAR-FIELD; COMPUTED-TOMOGRAPHY; ACOUSTIC MICROSCOPE; TERAHERTZ; IDENTIFICATION; SENSITIVITY; TECHNOLOGY; INSPECTION; DEFECTS;
D O I
10.1016/j.measurement.2023.114065
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Three-dimensional (3D) semiconductor packaging has the potential to overcome Moore's Law for future inte-grated circuits (ICs), but the inspection and testing of 3D ICs to ensure quality, reliability, and yield remain a major obstacle. Volumetric nondestructive testing (VNDT) possesses unique advantages for this purpose. The paper surveys the principles of major VNDT techniques, including X-ray microscopy, scanning acoustic micro-scopy, and terahertz microscopy, and their technological advances towards 3D packaging applications. Mean-while, the state-of-the-art developments in VNDT for failure analysis and fault isolation in 3D ICs are summarized, which cover not only direct adoption of VNDT for various applications, but also employment of machine learning (ML) and artificial intelligence (AI) to complement VNDT. More importantly, a critical analysis is provided to discuss the remaining challenges for 3D package inspection, and thus the research opportunities are identified for VNDT techniques, as well as their integration with ML/AI for addressing the future needs.
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页数:22
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