Modeling Analysis of Passivation and TEOS Cracking in BEOL Metal Trace Design

As flip chip packaging technologies advance, silicon-level failure highlights the importance for robust design evaluation methodologies early in the development cycle. To support this need, we have developed a multi-scale finite element analysis (FEA) framework that includes both 3D and 2D multi-scale simulations, to capture stress distributions at critical failure locations. These models demonstrated comparable stress trends, validating their effectiveness in identifying high-risk regions. To further investigate micro-crack propagation risks at submicron scales, a 2D fracture mechanics model is introduced. This model enables detailed analysis of how key design parameters, such as aluminum pad (AP) spacing and BEOL metal trace spacing, influence failure susceptibility. Notably, these parameters exhibit opposing effects on two different failure modes, underscoring the importance of trade-off analysis. This paper presents a simulation-driven framework for assessing chip-level failure risks during the early stages of silicon-level design. Rather than prescribing specific design solutions, this study emphasizes the use of developed modeling framework to guide early-stage design exploration on silicon-level failure risk. The modeling framework provides a foundation for integrating modeling-driven insights into silicon-level design and process development, ensuring robust chip design to avoid failures downstream in packages.

Authors

Institutions

Publication Details

Journal
IMAPSource Proceedings
Published
2025-11-10
DOI
https://doi.org/10.4071/001c.147189
Primary Topic
Electronic Packaging and Soldering Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Analysis of Passivation and TEOS Cracking in BEOL Metal Trace Design

Yangyang Sun, Wei Wang, D. Karthik
IMAPSource Proceedings
Electronic Packaging and Soldering Technologies
article

Modeling Analysis of Passivation and TEOS Cracking in BEOL Metal Trace Design

Yangyang Sun, Wei Wang, D. Karthik
article en

Abstract

As flip chip packaging technologies advance, silicon-level failure highlights the importance for robust design evaluation methodologies early in the development cycle. To support this need, we have developed a multi-scale finite element analysis (FEA) framework that includes both 3D and 2D multi-scale simulations, to capture stress distributions at critical failure locations. These models demonstrated comparable stress trends, validating their effectiveness in identifying high-risk regions. To further investigate micro-crack propagation risks at submicron scales, a 2D fracture mechanics model is introduced. This model enables detailed analysis of how key design parameters, such as aluminum pad (AP) spacing and BEOL metal trace spacing, influence failure susceptibility. Notably, these parameters exhibit opposing effects on two different failure modes, underscoring the importance of trade-off analysis. This paper presents a simulation-driven framework for assessing chip-level failure risks during the early stages of silicon-level design. Rather than prescribing specific design solutions, this study emphasizes the use of developed modeling framework to guide early-stage design exploration on silicon-level failure risk. The modeling framework provides a foundation for integrating modeling-driven insights into silicon-level design and process development, ensuring robust chip design to avoid failures downstream in packages.

IMAPSource ProceedingsVol. 2025(Symposium)
Qualcomm (United Kingdom) (GB)
Openalex Percentile: Top 66%
Electronic Packaging and Soldering Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.