Evidence map›Paper›PMID 39402800›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2024

Dressing AgNWs with MXenes Nanosheets: Transparent Printed Electrodes Combining High-Conductivity and Tunable Work Function for High-Performance Opto-Electronics.

Zhongshi Ju, Yusheng Chen, Peng Li, Jiangang Ma, Haiyang Xu, Yichun Liu, Paolo Samorì

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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.

Zhongshi JuKey Laboratory of UV-Emitting Materials and Technology, Ministry of Education, Northeast Normal University, Changchun, 130024, P. R. China.
Yusheng ChenUniversité de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France.
Peng LiKey Laboratory of UV-Emitting Materials and Technology, Ministry of Education, Northeast Normal University, Changchun, 130024, P. R. China.
Jiangang MaKey Laboratory of UV-Emitting Materials and Technology, Ministry of Education, Northeast Normal University, Changchun, 130024, P. R. China.
Haiyang XuKey Laboratory of UV-Emitting Materials and Technology, Ministry of Education, Northeast Normal University, Changchun, 130024, P. R. China.
Yichun LiuKey Laboratory of UV-Emitting Materials and Technology, Ministry of Education, Northeast Normal University, Changchun, 130024, P. R. China.
Paolo SamorìUniversité de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, Strasbourg, 67000, France.ORCID https://orcid.org/0000-0001-6256-8281

Funding

Agence Nationale de la Recherche ANR-10-IDEX-0002European Commission GA-833707Fund from Jilin Province 20240101129JCHorizon Europe research and innovation program GA-101091572Horizon Europe research and innovation program GA-101135196National Key Research and Development Program of China 2021YFA0716404NSFC for Distinguished Young Scholars 52025022
6 · The paper itself

Abstract

High-work function transparent electrodes (HWFTEs) are key for establishing Schottky and Ohmic contacts with n-type and p-type semiconductors, respectively. However, the development of printable materials that combine high transmittance, low sheet resistance, and tunable work function remains an outstanding challenge. This work reports a high-performance HWFTE composed of Ag nanowires enveloped conformally by Ti

Indexed as

gallium oxideMXeneorganic light‐emitting transistorSchottky diodetransparent electrodetunable work function

Identifiers

PMID39402800
PMCPMC11602678

What OpenQuestion holds

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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.