Characterization and Modeling of 28-nm Bulk CMOS Technology Down to 4.2 K
This paper presents an experimental investigation, compact modeling, and low-temperature physics-based modeling of a commercial 28-nm bulk CMOS technology operating at cryogenic temperatures. The physical and technological parameters are extracted at 300, 77, and 4.2 K from dc measurements made on v...
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Published in | IEEE journal of the Electron Devices Society Vol. 6; pp. 1007 - 1018 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 2168-6734 2168-6734 |
DOI | 10.1109/JEDS.2018.2817458 |
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Summary: | This paper presents an experimental investigation, compact modeling, and low-temperature physics-based modeling of a commercial 28-nm bulk CMOS technology operating at cryogenic temperatures. The physical and technological parameters are extracted at 300, 77, and 4.2 K from dc measurements made on various geometries. The simplified-EKV compact model is used to accurately capture the dc characteristics of this technology down to 4.2 K and to demonstrate the impact of cryogenic temperatures on the essential analog figures-of-merit. A new body-partitioning methodology is then introduced to obtain a set of analytical expressions for the electrostatic profile and the freeze-out layer thickness in field-effect transistors operating from deep-depletion to inversion. The proposed physics-based model relies on the drift-diffusion transport mechanism to obtain the drain current and subthreshold swing, and is validated with the experimental results. This model explains the degradation in subthreshold swing at deep-cryogenic temperatures by the temperature-dependent occupation of interface charge traps. This leads to a degradation of the theoretical limit of the subthreshold swing at deep-cryogenic temperatures. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2168-6734 2168-6734 |
DOI: | 10.1109/JEDS.2018.2817458 |