Evidence map›Paper›PMID 41133926›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Grow p-type MoS

Yuefeng Gu, Yuhao Wang, Jing Ai, Gongjie Liu, Sadaf Saeedi Garakani, Lisi Wei, Zeen Wu, Jiayin Yuan, Qiuhong Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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
–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

1 citing paper in PubMed.

  1. Grow p-type MoSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

9 authors.

Yuefeng GuSchool of Electronic Science and Engineering, Xiamen University, Xiamen, 361005, China.ORCID https://orcid.org/0000-0003-4324-7030
Yuhao WangSchool of Electronic Science and Engineering, Xiamen University, Xiamen, 361005, China.
Jing AiDepartment of Chemistry, Stockholm University, Stockholm, 10691, Sweden.
Gongjie LiuSchool of Electronic Science and Engineering, Xiamen University, Xiamen, 361005, China.
Sadaf Saeedi GarakaniDivision of Chemical Engineering, Chalmers University of Technology, Gothenburg, 41296, Sweden.
Lisi WeiSchool of Electronic Science and Engineering, Xiamen University, Xiamen, 361005, China.
Zeen WuDepartment of Chemistry, Stockholm University, Stockholm, 10691, Sweden.
Jiayin YuanDepartment of Chemistry, Stockholm University, Stockholm, 10691, Sweden.ORCID https://orcid.org/0000-0003-1016-5135
Qiuhong LiSchool of Electronic Science and Engineering, Xiamen University, Xiamen, 361005, China.ORCID https://orcid.org/0000-0002-1462-4354

Funding

Carl Tryggers Stiftelse för Vetenskaplig Forskning CTS 22:2165European Commission with the European Research Council PARIS-101043485Key Technologies Research and Development Program 2019YFB2205005Knut och Alice Wallenbergs Stiftelse KAW2022.0194National Natural Science Foundation of China 62171395Natural Science Foundation of Fujian Province 2020J01050Wallenberg Academy Fellow program
6 · The paper itself

Abstract

A wealth of theoretical studies demonstrates p-type MoS

Indexed as

CO2 sensingcross‐sensitivitygas predictionmachine learningP‐type MoS2

Identifiers

PMID41133926
PMCPMC12767046

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.