Evidence map›Paper›PMID 36500968›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Mechanism of Random Telegraph Noise in 22-nm FDSOI-Based MOSFET at Cryogenic Temperatures.

Yue Ma, Jinshun Bi, Hanbin Wang, Linjie Fan, Biyao Zhao, Lizhi Shen, Mengxin Liu

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yue MaInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.ORCID 0000-0002-9581-6189
Jinshun BiInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Hanbin WangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Linjie FanInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Biyao ZhaoInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Lizhi ShenInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Mengxin LiuInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.

Funding

National Key Research and Development Program 2022YFE0124200National Natural Science Foundation of China U2241221
6 · The paper itself

Abstract

In the emerging process-based transistors, random telegraph noise (RTN) has become a critical reliability problem. However, the conventional method to analyze RTN properties may not be suitable for the advanced silicon-on-insulator (SOI)-based transistors, such as the fully depleted SOI (FDSOI)-based transistors. In this paper, the mechanism of RTN in a 22-nm FDSOI-based metal-oxide-semiconductor field-effect transistor (MOSFET) is discussed, and an improved approach to analyzing the relationship between the RTN time constants, the trap energy, and the trap depth of the device at cryogenic temperatures is proposed. The cryogenic measurements of RTN in a 22-nm FDSOI-based MOSFET were carried out and analyzed using the improved approach. In this approach, the quantum mechanical effects and diffuse scattering of electrons at the oxide-silicon interface are considered, and the slope of the trap potential determined by the gate voltage relation is assumed to decrease proportionally with temperature as a result of the electron distribution inside the top silicon, per the technology computer-aided design (TCAD) simulations. The fitted results of the improved approach have good consistency with the measured curves at cryogenic temperatures from 10 K to 100 K. The fitted trap depth was 0.13 nm, and the decrease in the fitted correction coefficient of the electron distribution proportionally with temperature is consistent with the aforementioned assumption.

Indexed as

cryogenic temperaturesfully depleted silicon-on-insulator (FDSOI)inversion layer thicknessrandom telegraph noise (RTN)trap depth

Identifiers

PMID36500968
PMCPMC9741056

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.