Evidence map›Paper›PMID 38966372›Full record

ArticleChemical science2024

Tunable Pt-NiO interaction-induced efficient electrocatalytic water oxidation and methanol oxidation.

Fenglin Wang, Zhicheng Zheng, Dan Wu, Hao Wan, Gen Chen, Ning Zhang, Xiaohe Liu, Renzhi Ma

Abstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fenglin WangZhongyuan Critical Metals Laboratory, Zhengzhou University Zhengzhou 450001 P. R. China wanhao@zzu.edu.cn liuxh@csu.edu.cn.
Zhicheng ZhengSchool of Materials Science and Engineering, Key Laboratory of Electronic Packaging and Advanced Functional Materials of Hunan Province, Central South University Changsha Hunan 410083 P. R. China.
Dan WuSchool of Materials Science and Engineering, Key Laboratory of Electronic Packaging and Advanced Functional Materials of Hunan Province, Central South University Changsha Hunan 410083 P. R. China.
Hao WanZhongyuan Critical Metals Laboratory, Zhengzhou University Zhengzhou 450001 P. R. China wanhao@zzu.edu.cn liuxh@csu.edu.cn.ORCID https://orcid.org/0000-0002-4487-3538
Gen ChenSchool of Materials Science and Engineering, Key Laboratory of Electronic Packaging and Advanced Functional Materials of Hunan Province, Central South University Changsha Hunan 410083 P. R. China.
Ning ZhangSchool of Materials Science and Engineering, Key Laboratory of Electronic Packaging and Advanced Functional Materials of Hunan Province, Central South University Changsha Hunan 410083 P. R. China.ORCID https://orcid.org/0000-0002-3033-0276
Xiaohe LiuZhongyuan Critical Metals Laboratory, Zhengzhou University Zhengzhou 450001 P. R. China wanhao@zzu.edu.cn liuxh@csu.edu.cn.ORCID https://orcid.org/0000-0003-1297-9597
Renzhi MaResearch Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS) Tsukuba Ibaraki 305-0044 Japan MA.Renzhi@nims.go.jp.ORCID https://orcid.org/0000-0001-7126-2006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-support interaction engineering is considered an efficient strategy for optimizing the catalytic activity. Nevertheless, the fine regulation of metal-support interactions as well as understanding the corresponding catalytic mechanisms (particularly those of non-carbon support-based counterparts) remains challenging. Herein, a controllable adsorption-impregnation strategy was proposed for the preparation of a porous nonlayered 2D NiO nanoflake support anchored with different forms of Pt nanoarchitectures,

Identifiers

PMID38966372
PMCPMC11220590

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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.