A Physics-Guided Transformer Framework for Electromigration Analysis in Multi-Segment Interconnects

📅 2026-10-05
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🤖 AI Summary
This study addresses the high computational cost and limited scalability of conventional electromigration stress analysis for advanced-technology interconnects by proposing a physics-guided Transformer framework. The method encodes interconnects into segment tokens that integrate geometric and DC-aware information, leveraging attention mechanisms to capture contextual dependencies. A lightweight decoder then rapidly predicts transient stress distributions, while physics-constrained losses enforcing continuity and terminal flux conditions balance accuracy with efficiency. Evaluated on IBM benchmarks, the proposed framework achieves relative errors below 8% and delivers up to a 2459.68× speedup over traditional matrix exponential solvers, demonstrating its potential for fast and reliable electromigration assessment in modern integrated circuit design.
📝 Abstract
As technology scales to smaller nodes, increasing current densities make electromigration (EM) one of the dominant reliability challenges in on-chip interconnects. Accurate transient stress analysis is needed to identify wires susceptible to EM degradation, but applying physics-based solvers across many interconnects remains computationally expensive. This paper proposes a physics-guided transformer framework for fast EM stress prediction in multi-segment interconnect lines. The framework converts each line into geometry- and DC-aware segment tokens and uses transformer attention to capture line-level context. A lightweight query decoder then predicts stress at selected locations and time instants. The model is trained with an objective that combines normalized supervised regression, linewise relative-$L_2$ loss, and physics-guided continuity and terminal-flux terms. Experiments on IBM power grid benchmarks show that the proposed model achieves relative-$L_2$ error below 8\% and reaches up to 2459.68$\times$ speedup compared with the matrix exponential~solver.
Problem

Research questions and friction points this paper is trying to address.

Electromigration
Transient stress analysis
Multi-segment interconnects
Reliability
Computational cost
Innovation

Methods, ideas, or system contributions that make the work stand out.

Physics-Guided Transformer
Electromigration Analysis
Multi-Segment Interconnects
Transient Stress Prediction
Physics-Informed Loss
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