Towards a Computationally Efficient Verilog-A Defect-Centric BTI Compact Model for Circuit Aging Simulations

Complex physics-based models have been developed with the capability to capture typical BTI features like recovery, time-dependent variability and long-term saturation. However, for a successful EDA compact model, other practical criteria like stability (convergence) and computational efficiency are just as important as those functional features. In this paper, we perform a study a previously published Verilog-A based BTI model from the perspective of practical feasibility. To that end, (i) we analyze the computational performance of the BTI model, and (ii) we achieve an optimal trade-off between accuracy and computational efficiency with a newly proposed methodology for reducing the number of traps.

Authors

Institutions

Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10983507
Citations
1
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards a Computationally Efficient Verilog-A Defect-Centric BTI Compact Model for Circuit Aging Simulations

D. Claes, Georges Gielen, D. Sangani, B. Kaczer et al.
1 citations
Semiconductor materials and devices
0.73
article

Towards a Computationally Efficient Verilog-A Defect-Centric BTI Compact Model for Circuit Aging Simulations

D. Claes, Georges Gielen, D. Sangani, B. Kaczer, Pieter Weckx
article en
1 citations

Abstract

Complex physics-based models have been developed with the capability to capture typical BTI features like recovery, time-dependent variability and long-term saturation. However, for a successful EDA compact model, other practical criteria like stability (convergence) and computational efficiency are just as important as those functional features. In this paper, we perform a study a previously published Verilog-A based BTI model from the perspective of practical feasibility. To that end, (i) we analyze the computational performance of the BTI model, and (ii) we achieve an optimal trade-off between accuracy and computational efficiency with a newly proposed methodology for reducing the number of traps.

IMEC (BE)
Openalex Percentile: Top 28%
Semiconductor materials and devices
0.73
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.