A Physics-Based Compact Model for Electromigration Failure Prediction and Dynamic IR-Drop Evaluation

In this work, a novel physics-based compact model for electromigration (EM) failure statistical distribution prediction and dynamic IR-drop evaluation is proposed for multi-segment interconnects. The proposed model takes into account the atomic migration paths, void nucleation-formation-growth phase, as well as the Gaussian distribution of activation energy and the dimension of the void. It can accurately describe the statistical distributions of interconnect resistance degradation and EM time-to-failure (TTF) resulted by process varieties during nanofabrication as well as dynamic IR-drop along time. The results of the model well agreement to the experimental data.

Authors

Institutions

Publication Details

Published
2025-03-09
DOI
https://doi.org/10.1109/edtm61175.2025.11041369
Primary Topic
Copper Interconnects and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Physics-Based Compact Model for Electromigration Failure Prediction and Dynamic IR-Drop Evaluation

Chenglin Ye, Zheng Zhou, Yizhan Liu, Xiaoyan Liu
Copper Interconnects and Reliability
article

A Physics-Based Compact Model for Electromigration Failure Prediction and Dynamic IR-Drop Evaluation

Chenglin Ye, Zheng Zhou, Yizhan Liu, Xiaoyan Liu
article en

Abstract

In this work, a novel physics-based compact model for electromigration (EM) failure statistical distribution prediction and dynamic IR-drop evaluation is proposed for multi-segment interconnects. The proposed model takes into account the atomic migration paths, void nucleation-formation-growth phase, as well as the Gaussian distribution of activation energy and the dimension of the void. It can accurately describe the statistical distributions of interconnect resistance degradation and EM time-to-failure (TTF) resulted by process varieties during nanofabrication as well as dynamic IR-drop along time. The results of the model well agreement to the experimental data.

Peking University (CN)
Reduced inequalities
Openalex Percentile: Top 91%
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.

A Physics-Based Compact Model for Electromigration Failure Prediction and Dynamic IR-Drop Evaluation — Chenglin Ye, Zheng Zhou, et al. · (2025) | TGRS Research Map | TGRS