Characterization of Electromigration-Induced Degradation in Microbumps via On-Chip Embedded Temperature Sensors Under High Current Density

This study investigates electromigration-induced degradation in micro bumps through an integrated experimental and computational approach. Platinum thin-film temperature sensors were embedded within flip-chip specimens to enable real-time thermal monitoring. Internal package temperatures were measured using these sensors, with validation via infrared thermography, to quantitatively characterize Joule heating effects under high-current-density conditions. Cross-sectional SEM analysis of specimens subjected to accelerated current stressing revealed that electromigration drives two concurrent failure mechanisms in electro-thermal coupling environments: (1) void nucleation-propagating along IMC/solder boundaries, and (2) necking caused by accelerated solder consumption. A multi-physics modeling framework combining unified creep plasticity (UCP) constitutive laws with the J-integral fracture mechanics method was developed to simulate shear deformation evolution in micro bumps containing electromigration-induced voids. Computational results demonstrated that void propagation disrupts hydrostatic stress uniformity, inducing localized stress concentrations near solder-depleted regions. Crucially, solder consumption-induced voids exhibited higher stress intensification compared to IMC-interface voids, establishing a direct correlation between void topology and mechanical reliability degradation.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Components Packaging and Manufacturing Technology
Published
2025-05-27
DOI
https://doi.org/10.1109/tcpmt.2025.3574203
Primary Topic
Copper Interconnects and Reliability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of Electromigration-Induced Degradation in Microbumps via On-Chip Embedded Temperature Sensors Under High Current Density

Ziheng Pu, Linwei Cao, J.C. Qiao, Yuexing Wang et al.
IEEE Transactions on Components Packaging and Manufacturing Technology
Copper Interconnects and Reliability
article

Characterization of Electromigration-Induced Degradation in Microbumps via On-Chip Embedded Temperature Sensors Under High Current Density

Ziheng Pu, Linwei Cao, J.C. Qiao, Yuexing Wang, Xiangyu Sun
article en

Abstract

This study investigates electromigration-induced degradation in micro bumps through an integrated experimental and computational approach. Platinum thin-film temperature sensors were embedded within flip-chip specimens to enable real-time thermal monitoring. Internal package temperatures were measured using these sensors, with validation via infrared thermography, to quantitatively characterize Joule heating effects under high-current-density conditions. Cross-sectional SEM analysis of specimens subjected to accelerated current stressing revealed that electromigration drives two concurrent failure mechanisms in electro-thermal coupling environments: (1) void nucleation-propagating along IMC/solder boundaries, and (2) necking caused by accelerated solder consumption. A multi-physics modeling framework combining unified creep plasticity (UCP) constitutive laws with the J-integral fracture mechanics method was developed to simulate shear deformation evolution in micro bumps containing electromigration-induced voids. Computational results demonstrated that void propagation disrupts hydrostatic stress uniformity, inducing localized stress concentrations near solder-depleted regions. Crucially, solder consumption-induced voids exhibited higher stress intensification compared to IMC-interface voids, establishing a direct correlation between void topology and mechanical reliability degradation.

IEEE Transactions on Components Packaging and Manufacturing TechnologyVol. 16(1)
Northwestern Polytechnical University (CN), China Academy of Engineering Physics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 93%
Copper Interconnects and Reliability
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.