Evidence map›Paper›PMID 36845596›Full record

ArticleRSC advances2023

Vacancy impacts on electronic and mechanical properties of MX2 (M = Mo, W and X = S, Se) monolayers.

Seyedeh Alieh Kazemi, Sadegh Imani Yengejeh, Samuel Akinlolu Ogunkunle, Lei Zhang, William Wen, Alan Wee-Chung Liew, Yun Wang

Abstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Flattening Energy Puddles for Enhanced Charge Transport in Wrinkled WSeSmall (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  2. 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.

Seyedeh Alieh KazemiCentre for Catalysis and Clean Energy, School of Environment and Science, Griffith University Gold Coast Campus QLD 4222 Australia yun.wang@griffith.edu.au.
Sadegh Imani YengejehCentre for Catalysis and Clean Energy, School of Environment and Science, Griffith University Gold Coast Campus QLD 4222 Australia yun.wang@griffith.edu.au.
Samuel Akinlolu OgunkunleCentre for Catalysis and Clean Energy, School of Environment and Science, Griffith University Gold Coast Campus QLD 4222 Australia yun.wang@griffith.edu.au.
Lei ZhangCentre for Catalysis and Clean Energy, School of Environment and Science, Griffith University Gold Coast Campus QLD 4222 Australia yun.wang@griffith.edu.au.ORCID https://orcid.org/0000-0001-7608-8350
William WenCentre for Catalysis and Clean Energy, School of Environment and Science, Griffith University Gold Coast Campus QLD 4222 Australia yun.wang@griffith.edu.au.
Alan Wee-Chung LiewSchool of Information and Communication Technology, Griffith University Gold Coast Queensland 4215 Australia.ORCID https://orcid.org/0000-0001-6718-7584
Yun WangCentre for Catalysis and Clean Energy, School of Environment and Science, Griffith University Gold Coast Campus QLD 4222 Australia yun.wang@griffith.edu.au.ORCID https://orcid.org/0000-0001-8619-0455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monolayers of transition metal dichalcogenides (TMD) exhibit excellent mechanical and electrical characteristics. Previous studies have shown that vacancies are frequently created during the synthesis, which can alter the physicochemical characteristics of TMDs. Even though the properties of pristine TMD structures are well studied, the effects of vacancies on the electrical and mechanical properties have received far less attention. In this paper, we applied first-principles density functional theory (DFT) to comparatively investigate the properties of defective TMD monolayers including molybdenum disulfide (MoS

Identifiers

PMID36845596
PMCPMC9951067

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.