Evidence map›Paper›PMID 39893203›Full record

ArticleNature communications2025

Electronic descriptors for designing high-entropy alloy electrocatalysts by leveraging local chemical environments.

Guolin Cao, Sha Yang, Ji-Chang Ren, Wei Liu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
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  5. Orientation-Entropy-Mediated Derivative Cu Sites for Selective COAngewandte Chemie (International ed. in English) · 2026
    Article
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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

4 authors.

Guolin CaoNano and Heterogeneous Materials Center, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Sha YangNano and Heterogeneous Materials Center, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Ji-Chang RenNano and Heterogeneous Materials Center, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China. renj@njust.edu.cn.ORCID http://orcid.org/0009-0005-1932-4472
Wei LiuNano and Heterogeneous Materials Center, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China. weiliu@ciac.ac.cn.ORCID http://orcid.org/0009-0009-2525-2507

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22173047National Natural Science Foundation of China (National Science Foundation of China) 52101016National Natural Science Foundation of China (National Science Foundation of China) 52271006Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20221495
6 · The paper itself

Abstract

High-entropy alloys (HEAs) present a vast compositional space for fine-tuning electrocatalytic activities, leveraging millions of distinct active sites on the surface. However, the intricate local chemical environment poses challenges to the rational and efficient design of HEA electrocatalysts with high reactivity. Here, focusing on noble-metal HEAs for oxygen reduction reactions, we propose a straightforward yet effective descriptor for quantitively determining the local reactivities of HEAs. This descriptor is based on a linear combination of the intrinsic d-band filling of the active center and the neighborhood electronegativity. Our model offers an accurate and robust description of the binding strengths of intermediates with different adsorption configurations on HEAs, supported by external density functional theory calculations. Importantly, the local environmental electronegativity of the HEA surface is strongly related to the d-band profile of the center atom(s) embedded within. Finally, we establish a library of activity maps for HEAs encompassing nine noble-metal elements, suggesting that Pd-rich and Ir-rich alloys, such as Pd-Ag, Ir-Pt, Ir-Au compositions, hold promise as potential candidates for optimal electrocatalysts.

Identifiers

PMID39893203
PMCPMC11787369

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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.