Deep-Cryogenic Modeling of 22-nm FDSOI MOSFETs based on BSIM-IMG

Fuente: arXiv
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Main Authors: Dutta, Debargha, Ture, Kerim, Olivieri, Fabio, Gomez-Saiz, Alberto, Noah, Grayson M.
Format: Preprint
Published: 2025
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author Dutta, Debargha
Ture, Kerim
Olivieri, Fabio
Gomez-Saiz, Alberto
Noah, Grayson M.
author_facet Dutta, Debargha
Ture, Kerim
Olivieri, Fabio
Gomez-Saiz, Alberto
Noah, Grayson M.
contents We present a modeling approach based on the BSIM-IMG compact model to capture the deep-cryogenic behavior of MOSFET devices in a 22-nm FDSOI technology. The modeling flow is based on DC measurements to extract static parameters including variability and RF measurements to extract dynamic parameters. Modifications to the mobility equations are introduced to enable the modeling of intersubband scattering effect. The extracted models are used to enable deep-cryogenic simulations of a digital-to-analog converter (DAC), showing close agreement with measurement results.
format Preprint
id arxiv_https___arxiv_org_abs_2511_22297
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Deep-Cryogenic Modeling of 22-nm FDSOI MOSFETs based on BSIM-IMG
Dutta, Debargha
Ture, Kerim
Olivieri, Fabio
Gomez-Saiz, Alberto
Noah, Grayson M.
Mesoscale and Nanoscale Physics
We present a modeling approach based on the BSIM-IMG compact model to capture the deep-cryogenic behavior of MOSFET devices in a 22-nm FDSOI technology. The modeling flow is based on DC measurements to extract static parameters including variability and RF measurements to extract dynamic parameters. Modifications to the mobility equations are introduced to enable the modeling of intersubband scattering effect. The extracted models are used to enable deep-cryogenic simulations of a digital-to-analog converter (DAC), showing close agreement with measurement results.
title Deep-Cryogenic Modeling of 22-nm FDSOI MOSFETs based on BSIM-IMG
topic Mesoscale and Nanoscale Physics
url https://arxiv.org/abs/2511.22297