Impact of the Gate and Fin Space Variation on Stress Modulation and FinFET Transistor Performance

Device scaling in advanced CMOS nodes is becoming more difficult due to patterning limitations and complex 3-D transistor integration schemes. This also makes the devices more sensitive to patterning variability. This study investigates the impact of poly pitch and fin pitch variability on stress-induced performance variation in 7-nm fin field effect transistor (FinFET) transistors. Variations in critical dimension (CD) during patterning can alter fin width and spacing, leading to changes in device characteristics. We evaluated device sensitivity using a comprehensive set of test structures and performed technology computer-aided design (TCAD) simulations to model the effects. The results confirm that both nMOS and pMOS devices are sensitive to poly spacing, and nMOS devices exhibit up to a 13% degradation in drive current, whereas pMOS devices show −11% to + 7% variation in drive current and interfin spacing. The dominant mechanism behind these effects is stress modulation, particularly due to changes in the volume and shape of epitaxially grown source/drain (S/D) regions. These findings highlight the critical role of mechanical stress in FinFET performance and underscore the importance of pitch control to minimize variability and optimize device parametric targets.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2026-01-12
DOI
https://doi.org/10.1109/ted.2025.3648978
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of the Gate and Fin Space Variation on Stress Modulation and FinFET Transistor Performance

Tomasz Brożek, Zsolt M. Kovács‐Vajna, Angelo Rossoni
IEEE Transactions on Electron Devices
Advancements in Semiconductor Devices and Circuit Design
article

Impact of the Gate and Fin Space Variation on Stress Modulation and FinFET Transistor Performance

Tomasz Brożek, Zsolt M. Kovács‐Vajna, Angelo Rossoni
article en

Abstract

Device scaling in advanced CMOS nodes is becoming more difficult due to patterning limitations and complex 3-D transistor integration schemes. This also makes the devices more sensitive to patterning variability. This study investigates the impact of poly pitch and fin pitch variability on stress-induced performance variation in 7-nm fin field effect transistor (FinFET) transistors. Variations in critical dimension (CD) during patterning can alter fin width and spacing, leading to changes in device characteristics. We evaluated device sensitivity using a comprehensive set of test structures and performed technology computer-aided design (TCAD) simulations to model the effects. The results confirm that both nMOS and pMOS devices are sensitive to poly spacing, and nMOS devices exhibit up to a 13% degradation in drive current, whereas pMOS devices show −11% to + 7% variation in drive current and interfin spacing. The dominant mechanism behind these effects is stress modulation, particularly due to changes in the volume and shape of epitaxially grown source/drain (S/D) regions. These findings highlight the critical role of mechanical stress in FinFET performance and underscore the importance of pitch control to minimize variability and optimize device parametric targets.

IEEE Transactions on Electron DevicesVol. 73(3)
PDF Solutions (United States) (US), University of Brescia (IT)
Openalex Percentile: Top 90%
Advancements in Semiconductor Devices and Circuit Design
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.