Evidence map›Paper›PMID 42549360›Full record

ArticleSmall science2026

Hybrid Nano-Atomic IrFe-N-C for Low-Iridium Oxygen Electrocatalysis.

Meng-Meng Liu, Han Gao, Shi-Yu Zhu, Meng Li, Xiao Ren, Yi-Fang Yuan, Wei-Jie Liu, Ling-Rui Wang, Tian-Yu Xia, Xiao-Lei Shi and 2 more

Abstract read
In one paragraph

Article in Small science, 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. 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

12 authors.

Meng-Meng LiuSchool of Physics Zhengzhou University Zhengzhou China.
Han GaoSchool of Physics Zhengzhou University Zhengzhou China.
Shi-Yu ZhuSchool of Physics Zhengzhou University Zhengzhou China.
Meng LiSchool of Chemistry and Physics ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality and Centre for Materials Science Queensland University of Technology Brisbane Queensland Australia.
Xiao RenSchool of Physics Zhengzhou University Zhengzhou China.
Yi-Fang YuanSchool of Physics Zhengzhou University Zhengzhou China.
Wei-Jie LiuSchool of Physics Zhengzhou University Zhengzhou China.
Ling-Rui WangSchool of Physics Zhengzhou University Zhengzhou China.ORCID https://orcid.org/0000-0001-9975-8900
Tian-Yu XiaSchool of Physics Zhengzhou University Zhengzhou China.ORCID https://orcid.org/0000-0002-9984-5446
Xiao-Lei ShiSchool of Chemistry and Physics ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality and Centre for Materials Science Queensland University of Technology Brisbane Queensland Australia.ORCID https://orcid.org/0000-0003-0905-2547
Hai-Zhong GuoSchool of Physics Zhengzhou University Zhengzhou China.ORCID https://orcid.org/0000-0002-6128-4225
Zhi-Gang ChenSchool of Chemistry and Physics ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality and Centre for Materials Science Queensland University of Technology Brisbane Queensland Australia.ORCID https://orcid.org/0000-0002-9309-7993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing efficient bifunctional catalysts for oxygen evolution and oxygen reduction reactions (OER/ORR) is essential for advancing metal-air batteries, yet remains challenging due to the fundamentally distinct reaction pathways involved. Here, we address this challenge by developing a hybrid IrFe-N-C electrocatalyst that integrates IrFe nanoparticles with a Fe-N-C support rich in atomically dispersed Fe-N

Indexed as

bifunctional oxygen electrocatalysisFe–N4hierarchical active‐site catalystmetal‐N–Cnanoparticles

Identifiers

PMID42549360
PMCPMC13431759

What OpenQuestion holds

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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.