The Voltage Dependence of NBTI: Resolution of Controversy Surrounding Power Law vs. Exponential

Negative Bias Temperature Instability is typically measured at high stress voltages and then projected to the lower voltage use conditions using a model with either power law or exponential voltage dependence. The choice of the right model is crucial, as it can lead to vastly different estimations of degradation at use conditions. In this work, using a variety of characterization methods, we demonstrate that the NBTI can show an apparent power law voltage dependence during the early stage of degradation, but an exponential voltage dependence model is needed for accurate use-condition projections. We also demonstrate that empirical extrapolation from conventional NBTI measurements, without proper consideration of the recovery effect, may lead to a perceived power law dependence. Finally, using months-long NBTI characterization on various gate stacks and device architectures, we confirm the generality of the behavior that the power law voltage model can significantly underestimate the degradation close to product use conditions.

Authors

Institutions

Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10982963
Citations
2
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
6.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Voltage Dependence of NBTI: Resolution of Controversy Surrounding Power Law vs. Exponential

Elias B. Frantz, S. Ramey, Misagh Rostami-asrabad, Narendra Parihar
2 citations
Big Data and Digital Economy
6.49
article

The Voltage Dependence of NBTI: Resolution of Controversy Surrounding Power Law vs. Exponential

Elias B. Frantz, S. Ramey, Misagh Rostami-asrabad, Narendra Parihar
article en
2 citations

Abstract

Negative Bias Temperature Instability is typically measured at high stress voltages and then projected to the lower voltage use conditions using a model with either power law or exponential voltage dependence. The choice of the right model is crucial, as it can lead to vastly different estimations of degradation at use conditions. In this work, using a variety of characterization methods, we demonstrate that the NBTI can show an apparent power law voltage dependence during the early stage of degradation, but an exponential voltage dependence model is needed for accurate use-condition projections. We also demonstrate that empirical extrapolation from conventional NBTI measurements, without proper consideration of the recovery effect, may lead to a perceived power law dependence. Finally, using months-long NBTI characterization on various gate stacks and device architectures, we confirm the generality of the behavior that the power law voltage model can significantly underestimate the degradation close to product use conditions.

Intel (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Big Data and Digital Economy
6.49
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.