Evidence map›Paper›PMID 39439839›Full record

ArticleRSC advances2024

A machine learning-assisted study of the formation of oxygen vacancies in anatase titanium dioxide.

Dan Wang, Ronghua Zan, Xiaorong Zhu, Yuwei Zhang, Yu Wang, Yanhui Gu, Yafei Li

Abstract read
PubMed Full text at PMC Publisher
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. Review
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.

Dan WangJiangsu Key Laboratory of New Power Batteries, Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University Nanjing 210023 P. R. China liyafei@njnu.edu.cn.
Ronghua ZanSchool of Computer Science and Technology, Nanjing Normal University Nanjing 210023 P. R. China gu@njnu.edu.cn.
Xiaorong ZhuCollege of Chemistry and Chemical Engineering, Nantong University Nantong 226019 P. R. China xiaorongzhu@ntu.edu.cn.ORCID https://orcid.org/0000-0001-8007-3047
Yuwei ZhangJiangsu Key Laboratory of New Power Batteries, Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University Nanjing 210023 P. R. China liyafei@njnu.edu.cn.
Yu WangJiangsu Key Laboratory of New Power Batteries, Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University Nanjing 210023 P. R. China liyafei@njnu.edu.cn.ORCID https://orcid.org/0000-0002-8833-9564
Yanhui GuSchool of Computer Science and Technology, Nanjing Normal University Nanjing 210023 P. R. China gu@njnu.edu.cn.
Yafei LiJiangsu Key Laboratory of New Power Batteries, Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University Nanjing 210023 P. R. China liyafei@njnu.edu.cn.ORCID https://orcid.org/0000-0002-6136-863X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defect engineering of semiconductor photocatalysts is critical in reducing the reaction barriers. The generation of surface oxygen vacancies allows substantial tuning of the electronic structure of anatase titanium dioxide (TiO

Identifiers

PMID39439839
PMCPMC11494461

What OpenQuestion holds

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LicenceCC BY-NC
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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.