Evidence map›Paper›PMID 39858689›Full record

ArticleMicromachines2024

Performance Assessment of Ultrascaled Vacuum Gate Dielectric MoS

Khalil Tamersit, Abdellah Kouzou, José Rodriguez, Mohamed Abdelrahem

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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. Review
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

4 authors.

Khalil TamersitNational School of Nanoscience and Nanotechnology, Abdelhafid Ihaddaden Scientific and Technological Hub, Sidi Abdellah, Algiers 16000, Algeria.ORCID 0000-0002-1023-843X
Abdellah KouzouApplied Automation and Industrial Diagnosis Laboratory (LAADI), Faculty of Science and Technology, Djelfa University, Djelfa 17000, Algeria.ORCID 0000-0001-6198-4347
José RodriguezCenter for Energy Transition, Universidad San Sebastián, Santiago 8420524, Chile.ORCID 0000-0002-1410-4121
Mohamed AbdelrahemHigh-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany.ORCID 0000-0003-2923-2094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gate dielectrics are essential components in nanoscale field-effect transistors (FETs), but they often face significant instabilities when exposed to harsh environments, such as radioactive conditions, leading to unreliable device performance. In this paper, we evaluate the performance of ultrascaled transition metal dichalcogenide (TMD) FETs equipped with vacuum gate dielectric (VGD) as a means to circumvent oxide-related instabilities. The nanodevice is computationally assessed using a quantum simulation approach based on the self-consistent solutions of the Poisson equation and the quantum transport equation under the ballistic transport regime. The performance evaluation includes analysis of the transfer characteristics, subthreshold swing, on-state and off-state currents, current ratio, and scaling limits. Simulation results demonstrate that the investigated VGD TMD FET, featuring a gate-all-around (GAA) configuration, a TMD-based channel, and a thin vacuum gate dielectric, collectively compensates for the low dielectric constant of the VGD, enabling exceptional electrostatic control. This combination ensures superior switching performance in the ultrascaled regime, achieving a high current ratio and steep subthreshold characteristics. These findings position the GAA-VGD TMD FET as a promising candidate for advanced radiation-hardened nanoelectronics.

Indexed as

current ratiofield-effect transistors (FETs)non-equilibrium green’s function (NEGF)oxide instabilitiessubthreshold swing (SS)switchingtransition metal dichalcogenide (TMD)vacuum gate dielectric (VGD)

Identifiers

PMID39858689
PMCPMC11767634

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Registered trials

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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.