Evidence map›Paper›PMID 42860612›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

High-Density-Cluster Ru Catalyst Substitute for Pt/C Benchmark Improves Membrane Water Electrolysis.

Zhen Yuan, Jia Xu, Zhongchen Gao, Linyan A, Shiying Guo, Jingguo Hu, Zhengshan Tian, Xiaoyong Xu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

Zhen Yuan *College of Physical Science and Technology & Institute of Technology for Carbon Neutralization, Yangzhou University, Yangzhou, China.
Jia Xu *College of Physical Science and Technology & Institute of Technology for Carbon Neutralization, Yangzhou University, Yangzhou, China.
Zhongchen Gao *Mathematics and Science College, Shanghai Normal University, Shanghai, China.ORCID https://orcid.org/0000-0002-1940-4756
Linyan ACollege of Physical Science and Technology & Institute of Technology for Carbon Neutralization, Yangzhou University, Yangzhou, China.
Shiying GuoCollege of Physical Science and Technology & Institute of Technology for Carbon Neutralization, Yangzhou University, Yangzhou, China.
Jingguo HuCollege of Physical Science and Technology & Institute of Technology for Carbon Neutralization, Yangzhou University, Yangzhou, China.
Zhengshan TianCollege of Chemistry and Chemical Engineering, Pingdingshan University, Pingdingshan, Henan, China.ORCID https://orcid.org/0000-0002-2486-2452
Xiaoyong XuCollege of Physical Science and Technology & Institute of Technology for Carbon Neutralization, Yangzhou University, Yangzhou, China.ORCID https://orcid.org/0000-0002-7134-2919

Funding

National Natural Science Foundation of China 12574204National Natural Science Foundation of China 62604286
6 · The paper itself

Abstract

The hydrogen evolution reaction (HER) is of great importance for the renewable energy conversion to hydrogen fuel via water electrolysis. However, the current benchmark Pt/C catalyst suffers from high cost, pH sensitivity, and deficient durability, severely restricting the large-scale development of membrane water electrolysis. Herein, we develop a cost-effective Pt-free catalyst featuring high-density, ultrafine Ru nanoclusters modified with CoP and uniformly dispersed on nitrogen-doped carbon films (NCF). This catalyst achieves not only superior HER activity across a wide pH range but also robust stability at ampere-level large current densities, manifesting as a competitive alternative to commercial Pt/C. Typically, Ru-CoP/NCF exhibits an overpotential of only 22 mV at 10 mA cm

Indexed as

high current densityhydrogen evolution reactionpH‐universalityproton exchange membrane water electrolyzerruthenium cluster

Identifiers

PMID42860612
PMCPMC13655321

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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.