Evidence map›Paper›PMID 40644529›Full record

ArticleScience advances2025

Discovering high-entropy electrocatalysts through a batch-alloy targeting approach.

Hui-Feng Zhao, Li Li, Tao Zhang, Jun-Qing Yao, Xu Peng, Jing Peng, Min Zhu, Bei-Bei Xu, Xin-Wang Liu, Hai-Bin Yu

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 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. Article
  2. 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

10 authors.

Hui-Feng ZhaoWuhan National High Magnetic Field Center & School of Physic, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0009-0001-8846-3311
Li LiWuhan National High Magnetic Field Center & School of Physic, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0009-0003-1816-0272
Tao ZhangShenzhen Key Laboratory of Energy Materials for Carbon Neutrality, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0003-4775-7089
Jun-Qing YaoState Key Laboratory of Materials Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0002-4936-9058
Xu PengCollege of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, China.ORCID 0000-0001-9502-6382
Jing PengShenzhen Key Laboratory of Energy Materials for Carbon Neutrality, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-5485-5931
Min ZhuState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0000-0001-8057-9742
Bei-Bei XuState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0009-0006-6010-0785
Xin-Wang LiuState Key Laboratory of Materials Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0001-5762-279X
Hai-Bin YuWuhan National High Magnetic Field Center & School of Physic, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0003-0645-0187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge of high-entropy materials as functional materials generally lies in the vast compositional space, presenting seemingly endless elemental combinations for composition design. Using electrocatalytic oxygen evolution reactions (OERs) as a typical example, we introduce a "batch-alloy targeting" approach to quickly and effectively identify materials with high activity and thermodynamic stability. We fuse potentially active elements into a rough-guess alloy, creating a library of several distinct stable phases with varied compositions and structures. By assessing the extent of surface restructuring as an indicator of OER activity, we can target the optimal composition for subsequent materials design. This method successfully led to the discovery and development of a nanoscale phase-separated alloy exhibiting high activity and stability. Our methodology offers an efficient and rapid approach to exploring the compositional space of high-entropy materials. It strikes a balance between one-shot experiments and high-throughput preparation, achieving both efficiency and equilibrium.

Identifiers

PMID40644529
PMCPMC12248279

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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.