Evidence map›Paper›PMID 42627785›Full record

ArticlePloS one2026

Comparison of inhomogeneous Schottky barrier modeling approaches in SiC polytypes.

Fayssal Mekaret, Abdelaziz Rabehi, Baya Zebentout, Shahrazade Tizi, Abdelmalek Douara, Mawloud Guermoui, Imad Eddine Tibermacine, Amal H Alharbi, El-Sayed M El-Kenawy, Mustapha Habib and 1 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Fayssal MekaretApplied Microelectronics Laboratory (AMEL), Electronics Department, Faculty of Technology, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria.
Abdelaziz RabehiApplied Microelectronics Laboratory (AMEL), Electronics Department, Faculty of Technology, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria.
Baya ZebentoutApplied Microelectronics Laboratory (AMEL), Electronics Department, Faculty of Technology, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria.
Shahrazade TiziApplied Microelectronics Laboratory (AMEL), Electronics Department, Faculty of Technology, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria.
Abdelmalek DouaraTelecommunication and Smart Systems Laboratory, Faculty of Sciences and Technology, Ziane Achour University, Djelfa, Algeria.
Mawloud GuermouiTelecommunication and Smart Systems Laboratory, Faculty of Sciences and Technology, Ziane Achour University, Djelfa, Algeria.
Imad Eddine TibermacineDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Italy.
Amal H AlharbiDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
El-Sayed M El-KenawyDelta Higher Institute of Engineering and Technology, Department for Communications and Electronics, Mansoura, Egypt.
Mustapha HabibKTH Royal Institute of Technology, Civil and Architectural Engineering, Teknikringen 78, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-2768-2366
Zineb BenamaraApplied Microelectronics Laboratory (AMEL), Electronics Department, Faculty of Technology, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a comprehensive comparative analysis of Schottky barrier (SB) inhomogeneities in three SiC polytypes (3C, 4H, and 6H) using three established theoretical approaches: the Cowley and Sze interface state model, the Werner Gaussian distribution model, and the Tung localized patch model. Through analytical simulations performed in MATLAB, we examined how each model's intrinsic parameters, including the interface state density (Nss), the standard deviation (σ), and the inhomogeneity parameter (γ), influence the effective Schottky barrier height (SBH) and the corresponding I-V characteristics predicted by each model. Our results demonstrate that each model reveals a distinct physical mechanism governing charge transport at the metal/semiconductor interface. The Cowley and Sze model emphasizes Fermi-level pinning due to interface states, Werner's model accounts for statistical fluctuations of the barrier height, and Tung's model describes localized current flow through low-barrier patches. Even though the numerical values obtained for each case are different, Although the three SiC polytypes exhibit different quantitative responses, they all show thermally activated transport behavior. These findings provide valuable guidelines for optimizing Schottky contact performance in high- temperature SiC power devices. The proposed comparative framework serves as a predictive tool for designing, engineering, and improving metal/SiC interfaces in advanced power device technologies.

Indexed as

Carbon Compounds, InorganicModels, TheoreticalSilicon CompoundsComputer SimulationSemiconductorsCarbon Compounds, Inorganicsilicon carbideSilicon Compounds

Identifiers

PMID42627785
PMCPMC13496421

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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.