Cryogenic Performance and Modeling of Sub-5nm Fin-Width Bulk FinFETs for Quantum Computing Applications

The article discusses characterization and modeling of sub-5nm fin-width bulk FinFETs over temperature. Analysis of the impact of process-induced fin recess defects at cryogenic temperatures reveals that n-FinFET demonstrates superior performance in comparison to p-FinFET. The observation is supported by the extraction of electron and hole mobilities across different temperatures, as well as the extracted values of the channel and series resistance. Increased surface roughness scattering at cryogenic temperatures appears to be the primary cause of performance degradation in p-FinFET. To accurately predict the device behavior at cryogenic temperatures, enhancements are proposed for the BSIM CMG based cryo-compact model. These enhancements accurately capture characteristics of the device over a wide bias range, as well as the trends in threshold voltage, subthreshold swing (SS), and the drain-induced barrier lowering (DIBL) across a broad temperature range. The proposed model is also validated with a standard ring oscillator (RO) simulation, demonstrating its capability for cryo-CMOS circuit design.

Authors

Institutions

Publication Details

Journal
IEEE Journal of the Electron Devices Society
Published
2024-11-20
DOI
https://doi.org/10.1109/jeds.2024.3502728
Citations
2
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cryogenic Performance and Modeling of Sub-5nm Fin-Width Bulk FinFETs for Quantum Computing Applications

Abhisek Dixit, Sumreti Gupta, Deepesh Sharma
2 citations
IEEE Journal of the Electron Devices Society
Advancements in Semiconductor Devices and Circuit Design
0.42
article

Cryogenic Performance and Modeling of Sub-5nm Fin-Width Bulk FinFETs for Quantum Computing Applications

Abhisek Dixit, Sumreti Gupta, Deepesh Sharma
article en
2 citations

Abstract

The article discusses characterization and modeling of sub-5nm fin-width bulk FinFETs over temperature. Analysis of the impact of process-induced fin recess defects at cryogenic temperatures reveals that n-FinFET demonstrates superior performance in comparison to p-FinFET. The observation is supported by the extraction of electron and hole mobilities across different temperatures, as well as the extracted values of the channel and series resistance. Increased surface roughness scattering at cryogenic temperatures appears to be the primary cause of performance degradation in p-FinFET. To accurately predict the device behavior at cryogenic temperatures, enhancements are proposed for the BSIM CMG based cryo-compact model. These enhancements accurately capture characteristics of the device over a wide bias range, as well as the trends in threshold voltage, subthreshold swing (SS), and the drain-induced barrier lowering (DIBL) across a broad temperature range. The proposed model is also validated with a standard ring oscillator (RO) simulation, demonstrating its capability for cryo-CMOS circuit design.

IEEE Journal of the Electron Devices SocietyVol. 13
Indian Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 36%
Advancements in Semiconductor Devices and Circuit Design
0.42
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.

Cryogenic Performance and Modeling of Sub-5nm Fin-Width Bulk FinFETs for Quantum Computing Applications — Abhisek Dixit, Sumreti Gupta, et al. · IEEE Journal of the Electron Devices Society (2024) | TGRS Research Map | TGRS