Evidence map›Paper›PMID 38323020›Full record

ArticleRSC advances2024

First-principles study of highly sensitive graphene/hexagonal boron nitride heterostructures for application in toxic gas-sensing devices.

Viet Bac T Phung, Ba Lich Pham, Nguyen Vo Anh Duy, Minh Triet Dang, Thi Nhan Tran, Quang-Huy Tran, Thi Theu Luong, Van An Dinh

Abstract read
In one paragraph

Article in RSC advances, 2024. 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. 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

8 authors.

Viet Bac T PhungCenter for Environmental Intelligence and College of Engineering & Computer Science, Vin University Hanoi 100000 Vietnam bac.ptv@vinuni.edu.vn.ORCID https://orcid.org/0000-0001-7717-2538
Ba Lich PhamInstitut de Chimie Physique, Faculté des Sciences d'Orsay, Université Paris-Saclay Orsay 91405 France.ORCID https://orcid.org/0000-0001-5909-840X
Nguyen Vo Anh DuyFPT University Can Tho Campus, 600 Nguyen Van Cu Street, Ninh Kieu Can Tho Vietnam.ORCID https://orcid.org/0000-0002-2546-9003
Minh Triet DangSchool of Education, Can Tho University 3-2 Road Can Tho Vietnam.ORCID https://orcid.org/0000-0003-1769-4873
Thi Nhan TranFaculty of Fundamental Sciences, Hanoi University of Industry 298 Cau Dien Street, Bac Tu Liem District Hanoi 100000 Vietnam.ORCID https://orcid.org/0000-0002-3446-9574
Quang-Huy TranFaculty of Physics, Hanoi Pedagogical University 2 Phuc Yen Vinh Phuc Vietnam.ORCID https://orcid.org/0000-0002-4504-2648
Thi Theu LuongHoa Binh University Bui Xuan Phai Str., My Dinh II, Nam Tu Liem Hanoi 100000 Vietnam.ORCID https://orcid.org/0000-0002-9275-9449
Van An DinhDepartment of Precision Engineering, Graduate School of Engineering, Osaka University 2-1 Yamadaoka Suita Osaka 565-0871 Japan divan@prec.eng.osaka-u.ac.jp.ORCID https://orcid.org/0000-0002-7290-7969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene-based sensors exhibit high sensitivity, fast response, and good selectivity towards toxic gases but have low mechanical stability. The combination of graphene and two-dimensional hexagonal boron nitride (h-BN) is expected to increase the mechanical stability and enhance the adsorption performance of these gas sensors. Using first-principles calculations, we demonstrate that two-dimensional graphene/h-BN double layers can be used as good substrates for gas sensors with a small lattice mismatch of only 1.78%. Moreover, the presence of a h-BN layer widens the band gap by about 38 meV and considerably increases the work function, thus positively affecting the gas adsorption performance. Although these graphene/h-BN heterostructures do not change the physical adsorption mechanism of these sensors concerning the graphene-based materials, these bilayers significantly enhance the sensitivity of these sensors for detecting CO

Identifiers

PMID38323020
PMCPMC10846490

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LicenceCC BY
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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.