Methodology of Predicting Package Early Failure

Majority investigations linking reliability to yield were focused on device/interconnect defects, but investigations at 2.5D/3D packaging level are quite limited. Herein, product yield and packaging reliability early failure rate (EFR) correlation is addressed. Starting from the same root cause defects, EFR is derived as a function of yield loss over stress time and calibrated by experimental data. A “burn-in” calculator is developed to screen out early failures to achieve fast product time-to-market with high quality.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10983328
Primary Topic
Mechanical Failure Analysis and Simulation
Type
article
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article

Methodology of Predicting Package Early Failure

Huadong Gan, Antai Xu, Jeffrey Zhang
Mechanical Failure Analysis and Simulation
article

Methodology of Predicting Package Early Failure

Huadong Gan, Antai Xu, Jeffrey Zhang
article en

Abstract

Majority investigations linking reliability to yield were focused on device/interconnect defects, but investigations at 2.5D/3D packaging level are quite limited. Herein, product yield and packaging reliability early failure rate (EFR) correlation is addressed. Starting from the same root cause defects, EFR is derived as a function of yield loss over stress time and calibrated by experimental data. A “burn-in” calculator is developed to screen out early failures to achieve fast product time-to-market with high quality.

Openalex Percentile: Top 90%
Mechanical Failure Analysis and Simulation
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Methodology of Predicting Package Early Failure — Huadong Gan, Antai Xu, et al. · (2025) | TGRS Research Map | TGRS