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  4. Empirical Finfet Cryo-Model Oriented to Integrated Circuits Design
 
conference paper

Empirical Finfet Cryo-Model Oriented to Integrated Circuits Design

Saeed, Ifra
•
Bosi, Gianni
•
Esposito, Ciro
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2025
IEEE International Conference on Integrated Circuit Design and Technology (ICICDT)
2025 International Conference on IC Design and Technology (ICICDT)

In this paper we propose a new empirical formulation for modelling the DC drain-current behaviour of CMOS technology devices for RF applications oriented to quantum computing integrated circuits. The approach is based on the well-known Angelov's model, that has been properly modified to include the capability of reproducing the transistor DC I-V characteristics from ambient down to cryogenic temperature. The approach has been successfully applied to 16-nm FinFET technology, showing very good performance in terms of model accuracy.

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Type
conference paper
DOI
10.1109/ICICDT65192.2025.11078117
Scopus ID

2-s2.0-105012573843

Author(s)
Saeed, Ifra

Università degli Studi di Milano-Bicocca

Bosi, Gianni

Università degli Studi di Milano-Bicocca

Esposito, Ciro

Università degli Studi di Milano-Bicocca

D'aniello, Federico

Università degli Studi di Milano-Bicocca

Charbon, Edoardo  

École Polytechnique Fédérale de Lausanne

Baschirotto, Andrea

Università degli Studi di Milano-Bicocca

Vadala, Valeria

Università degli Studi di Milano-Bicocca

Date Issued

2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Published in
IEEE International Conference on Integrated Circuit Design and Technology (ICICDT)
DOI of the book
https://doi.org/10.1109/ICICDT65192.2025
ISBN of the book

9798331524616

Start page

17

End page

20

Subjects

cryogenic

•

FinFET technology

•

nonlinear models

•

quantum computing

•

Semiconductor device modeling

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
AQUA  
Event nameEvent acronymEvent placeEvent date
2025 International Conference on IC Design and Technology (ICICDT)

Lecce, Italy

2025-06-23 - 2025-06-25

FunderFunding(s)Grant NumberGrant URL

MUR

2022PB4SX4

Available on Infoscience
August 20, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/253242
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