Evidence map›Paper›PMID 42502198›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Self-Armoring Non-Noble High-Entropy Alloys with CNT Networks for Ultra-Stable Acid Water Electrolysis.

Zhujun Kuang, Junlin Liu, Anyang Wang, Chenyang Wang, Shiyu Yuan, Yuzheng Guo, Mengqi Zeng, Lei Fu

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, 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.

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.

Zhujun KuangCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Junlin LiuCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Anyang WangSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, China.
Chenyang WangCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Shiyu YuanSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, China.
Yuzheng GuoSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0001-9224-3816
Mengqi ZengCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.
Lei FuCollege of Chemistry and Molecular Sciences, Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0003-1356-4422

Funding

National Key Research and Development Program of China 2022YFA1402500National Natural Science Foundation of China 22502148National Natural Science Foundation of China 52572035Postdoctoral Fellowship Program of CPFS GZB20240567
6 · The paper itself

Abstract

Recent advances in high-entropy alloys (HEA) have demonstrated that the electrocatalytic performance of non-noble metals can be enhanced to levels comparable to those of noble metals through the synergistic effects of multiple elements. However, non-noble HEA systems still encounter inherent stability challenges caused by electrolyte corrosion, particularly under acidic conditions. Here, a highly stable non-noble HEA catalyst for acid water electrolysis is realized through self-armoring them with a self-supporting and self-protecting 3D interlocking CNT network. The CNT networks confer robust chemical corrosion resistance to the catalyst, while the synergistic effects of the multi-element composition enable the catalyst to have superior electrocatalytic activity. Remarkably, the catalyst maintains stable operation for over 600 h without significant performance decay. The overpotentials of 48 and 226 mV at 10 mA cm

Indexed as

acid water electrolysisCNT networkslong‐term stabilitynon‐noble high‐entropy alloys

Identifiers

PMID42502198
PMCPMC13472286

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.