Evidence map›Paper›PMID 41938077›Full record

ArticleNational science review2026

Engineered gradient oxygen vacancies by ambient ball-milling boost ampere-level water electrolysis stability.

Min Lu, Yang Hu, Shuhui Li, Xiong Liu, Li An, Yong Peng, Pinxian Xi, Chun-Hua Yan

Abstract read
In one paragraph

Article in National science review, 2026. 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
–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

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.

Min LuDepartment of Inorganic Chemistry, College of Chemistry and Chemical Engineering, Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.ORCID https://orcid.org/0000-0001-7747-1618
Yang HuDepartment of Materials Physics, School of Materials and Energy, Electron Microscopy Centre of Lanzhou University, Lanzhou 730000, China.
Shuhui LiDepartment of Inorganic Chemistry, College of Chemistry and Chemical Engineering, Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.
Xiong LiuDepartment of Inorganic Chemistry, College of Chemistry and Chemical Engineering, Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.
Li AnDepartment of Inorganic Chemistry, College of Chemistry and Chemical Engineering, Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.
Yong PengDepartment of Materials Physics, School of Materials and Energy, Electron Microscopy Centre of Lanzhou University, Lanzhou 730000, China.
Pinxian XiDepartment of Inorganic Chemistry, College of Chemistry and Chemical Engineering, Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.
Chun-Hua YanDepartment of Inorganic Chemistry, College of Chemistry and Chemical Engineering, Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Balancing the activity and stability of catalysts has become one of the key approaches to breaking through the bottleneck of ampere-level water electrolysis. Oxygen vacancies are one of the most important active structures in catalysts. The complex structure of oxygen vacancies, such as the spatial distribution, profoundly affects the catalytic activity and mechanism. Here, we present a mechanochemical method that utilizes controlled environment pressure to create oxygen vacancies and modulate their spatial distribution in Pr

Indexed as

ampere-level water electrolysismechanochemistryoxygen-vacancy distributionstructure–activity relationship

Identifiers

PMID41938077
PMCPMC13045681

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Registered trials

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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.