arxivcs.LGcs.AR2026-07-06
SMART: A Machine Learning and Monte Carlo Framework for Rapid Analysis of Stochastic Transistor Aging and Process Variation in Digital Circuits
Arash Esshaghi, Siavash Es'haghi, Gholamreza Shahabadi, Alireza Moradi
As CMOS technology scales into the deep nanometer regime, digital circuit reliability is increasingly threatened by the combined stochastic effects of Bias Temperature Instability (BTI) and Process Variation (PV). Traditional reliability analysis methods, which rely on computatio…