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Observation of void formation patterns in SnAg films undergoing electromigration and simulation using random walk
Zhi Jin1,2,3, Yu-An Shen4,5, Yang Zuo6
1Graduate School of Engineering, Osaka University, Suita, Japan. jinzhi711@gmail.com.
Scientific Reports
|April 22, 2021
Summary
Electromigration (EM) in Sn-Ag thin films is crucial for electronics. A novel random walk simulation accurately predicts void formation, though film imperfections cause deviations.
Area of Science:
- Materials Science
- Physics
- Electrical Engineering
Background:
- Electromigration (EM) is a significant reliability concern in miniaturized electronic devices.
- Existing EM models primarily focus on Sn-Ag solders within solder joint structures, leaving thin film behavior less explored.
- Understanding EM in thin films is critical for advancing microelectronic reliability.
Purpose of the Study:
- To evaluate the predictive capability of existing EM models for void nucleation and evolution in Sn-Ag thin films.
- To introduce and validate a novel random walk (RW) method for simulating coupled current, thermal, and atomic migration phenomena.
- To investigate the impact of film imperfections on EM behavior.
Main Methods:
- Experimental testing of a Sn-3.5Ag (wt.%) thin metallic film under a current density of 7.77 × 10⁴ A/cm² at 15°C.
- Development and application of a computer simulation using an original random walk (RW) method.
- Coupled simulation of current distribution, thermal distribution, and atomic migration, accounting for void formation.
Main Results:
- The RW method demonstrated successful application in predicting void nucleation and evolution due to atomic migration.
- Simulations showed good agreement with experimental results, validating the RW approach for EM studies.
- Deviations between simulation and experimental results were observed, attributed to imperfections within the thin film.
Conclusions:
- The random walk method is a viable and effective tool for modeling electromigration phenomena in metallic thin films.
- The study highlights the importance of considering material imperfections for accurate EM prediction.
- Further research can refine RW models to better incorporate the effects of microstructural defects on electromigration.

