# A Weighted NBTI/HCD Coupling Model in Full VG/VD Bias Space with Applications to SRAM Aging Simulation

**Authors:** Zhen Chai, Zhenyu Wu

PMC · DOI: 10.3390/mi17010101 · 2026-01-12

## TL;DR

This paper introduces a new model for predicting aging in SRAM circuits by combining two degradation effects across different voltage conditions.

## Contribution

A novel NBTI/HCD coupling model is proposed with a weighting factor in the full VG/VD bias space for accurate SRAM aging simulation.

## Key findings

- The model achieves an average relative error of 11.6% in threshold voltage shift predictions.
- SRAM simulations show maximum absolute errors of 4.2% in RSNM and 3.1% in WSNM.
- The model accounts for AC effects and long-term saturation behavior.

## Abstract

In this paper, a coupled negative bias temperature instability (NBTI)/hot carrier degradation (HCD) failure model is proposed on the 2-D voltage plane for aging simulation of SRAM circuits. According to the physical mechanism of failure, based on the reaction–diffusion and hot carrier energy-driven theory, revised degradation models of threshold voltage shift (∆Vth) for the NBTI and HCD are established, respectively, with explicit expressions for gate voltage (VG)/drain voltage (VD). An NBTI/HCD coupling model is built on the 2-D {VG, VD} voltage plane with a weighting factor in the form of VG and VD power law. The model also takes into account the AC effect and long-term saturation behavior. The predicted ∆Vth under various stress conditions shows an average relative error of 11.6% with experimental data across the entire bias space. SRAM circuit simulation shows that the read static noise margin (RSNM) and write static noise margin (WSNM) have a maximum absolute error of 4.2% and 3.1%, respectively. This research provides a valuable reference for the reliability simulation of nanoscale integrated circuits.

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12843605/full.md

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Source: https://tomesphere.com/paper/PMC12843605