Evidence map›Paper›PMID 38550300›Full record

ArticleACS applied energy materials2024

Scalable Large-Area 2D-MoS

Ioannis Zeimpekis, Tasmiat Rahman, Oi Man Leung, Jack Tyson, Martin Ebert, Stuart A Boden, Carlos Ponce De Leon, Katrina A Morgan

Open access · hybridAbstract read
In one paragraph

Article in ACS applied energy materials, 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
0.9field-weighted citation impact, top 25% of its field
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, 8 citations in OpenAlex.

  1. Hydrogen Production and Li-Ion Battery Performance with MoSNanomaterials (Basel, Switzerland) · 2024
    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 at 1 institution in 1 country.

Ioannis ZeimpekisElectronics and Computer Science, University of Southampton, Southampton SO171BJ, U.K.
Tasmiat RahmanElectronics and Computer Science, University of Southampton, Southampton SO171BJ, U.K.
Oi Man LeungFaculty of Engineering and Physical Sciences, Mechanical Engineering department, University of Southampton, Southampton SO171BJ, U.K.ORCID https://orcid.org/0000-0002-1951-6811
Jack TysonElectronics and Computer Science, University of Southampton, Southampton SO171BJ, U.K.
Martin EbertElectronics and Computer Science, University of Southampton, Southampton SO171BJ, U.K.
Stuart A BodenElectronics and Computer Science, University of Southampton, Southampton SO171BJ, U.K.
Carlos Ponce De LeonFaculty of Engineering and Physical Sciences, Mechanical Engineering department, University of Southampton, Southampton SO171BJ, U.K.
Katrina A MorganElectronics and Computer Science, University of Southampton, Southampton SO171BJ, U.K.ORCID https://orcid.org/0000-0002-8600-4322
University of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional (2D) transition-metal dichalcogenides have shown great potential for energy storage applications owing to their interlayer spacing, large surface area-to-volume ratio, superior electrical properties, and chemical compatibility. Further, increasing the surface area of such materials can lead to enhanced electrical, chemical, and optical response for energy storage and generation applications. Vertical silicon nanowires (SiNWs), also known as black-Si, are an ideal substrate for 2D material growth to produce high surface-area heterostructures, owing to their ultrahigh aspect ratio. Achieving this using an industrially scalable method paves the way for next-generation energy storage devices, enabling them to enter commercialization. This work demonstrates large surface area, commercially scalable, hybrid MoS

Identifiers

PMID38550300
PMCPMC10966641
OpenAlexW4392551592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.