Evidence map›Paper›PMID 40834095›Full record

ArticleScience advances2025

Bayesian learning-assisted catalyst discovery for efficient iridium utilization in electrochemical water splitting.

Xiangfu Niu, Yanjun Chen, Mingze Sun, Satoshi Nagao, Yuki Aoki, Zhiqiang Niu, Liang Zhang

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Nanomaterial Integration at Liquid-Liquid Interfaces for Green Catalysis.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  4. Article
  5. Oxygen Evolution Reaction Catalysts for Acidic-Media COAdvanced materials (Deerfield Beach, Fla.) · 2026
    Review
  6. Review
  7. 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.

Xiangfu NiuCenter for Combustion Energy, School of Vehicle and Mobility, State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China.ORCID 0009-0000-7230-0289
Yanjun ChenState Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.ORCID 0009-0006-9557-3152
Mingze SunState Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.ORCID 0000-0003-0027-0003
Satoshi NagaoToyota Motor Corporation, Aichi-ken 471-8571, Japan.
Yuki AokiToyota Motor Corporation, Aichi-ken 471-8571, Japan.
Zhiqiang NiuState Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.ORCID 0000-0002-9122-4880
Liang ZhangCenter for Combustion Energy, School of Vehicle and Mobility, State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-9718-0436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing noble metal dependence in oxygen evolution reaction (OER) catalysts is essential for achieving sustainable and scalable green hydrogen production. Bimetallic oxides, with their potential for high catalytic performance and reduced noble metal content, represent promising alternatives to traditional IrO

Identifiers

PMID40834095
PMCPMC12366704

What OpenQuestion holds

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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.