Evidence map›Paper›PMID 40178888›Full record

ArticleACS applied materials & interfaces2025

Oxygen Vacancies Can Drive Surface Transformation of High-Entropy Perovskite Oxide for the Oxygen Evolution Reaction as Probed with Scanning Probe Microscopy.

Michael Verhage, Stijn J H M van den Broek, Christ Weijtens, Cornelis F J Flipse

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. 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. Review
  2. 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

4 authors.

Michael VerhageMolecular Materials and Nanosystems (M2N), Department of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5600 MB, the Netherlands.ORCID 0000-0002-3393-9829
Stijn J H M van den BroekMolecular Materials and Nanosystems (M2N), Department of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5600 MB, the Netherlands.ORCID 0009-0005-3998-9906
Christ WeijtensMolecular Materials and Nanosystems (M2N), Department of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5600 MB, the Netherlands.
Cornelis F J FlipseMolecular Materials and Nanosystems (M2N), Department of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5600 MB, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epitaxial transition-metal oxide perovskite catalysts form a highly active catalyst class for the oxygen evolution reaction (OER). Understanding the origin of chemical dissolution and surface transformations during the OER is important to rationally design effective catalyst. These changes arise from complex interactions involving dynamic restructuring and electronic/structural adaptations. Although initial instability is common, surfaces can reach equilibrium through chemical transformations. High entropy perovskite oxides (HEPOs), which incorporate multiple 3d metal cations in near-equimolar ratios, have emerged as promising catalysts due to their enhanced OER activity compared to single-cation variants, attributed to their high configurational entropy and compositional flexibility. To advance HEPO catalyst applications, understanding the mechanisms governing their surface (in)stability is important. In this work, we examine surface degradation in epitaxial La(Cr,Mn,Fe,Co,Ni)O

Indexed as

high entropy perovskite oxideoxygen evolution reaction.scanning tunneling microscopysurface transformationthin film

Identifiers

PMID40178888
PMCPMC12012691

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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.