Evidence map›Paper›PMID 42344309›Full record

ArticleNational science review2026

Unveiling the correlation between high-entropy alloy element systems and electrocatalytic activity.

Xiangyi Shan, Furong Cai, Yuanhua Tu, Di Zhang, Yiyang Pan, Lunbo Chen, Jinhui Liang, Han Gao, Jianan Xu, Hao Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 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

13 authors.

Xiangyi ShanState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.ORCID https://orcid.org/0009-0005-2536-2491
Furong CaiState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Yuanhua TuGuangdong Provincial Key Laboratory of Fuel Cell Technology, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.
Di ZhangAdvanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.
Yiyang PanState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Lunbo ChenState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Jinhui LiangGuangdong Provincial Key Laboratory of Fuel Cell Technology, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.
Han GaoState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Jianan XuState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Hao LiAdvanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.
Jing LiState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Erkang WangState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Min ZhouState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complex element combinations and synergistic effects of high-entropy alloys (HEAs) present significant challenges for efficient exploration and optimal design. Here, we propose a collaborative framework that integrates large language models (LLMs) with a high-throughput platform, aiming to reveal the correlation between HEA element systems and oxygen reduction reaction (ORR) activity. By domain-specific fine-tuning of the LLM, we developed ChatHEA as an assistant for the enumeration of HEA combinations, which enabled rapid synthesis via a high-throughput platform and facilitated the construction of a standardized ORR activity dataset through batch performance evaluation. Subsequently, ChatHEA performs multidimensional analysis and pattern recognition on the dataset to uncover the intrinsic relationships between HEA element systems and ORR activity, followed by detailed validation of the superior combinations. Density functional theory (DFT) and advanced pH-dependent microkinetic modeling further elucidate and confirm the facilitating effect of elemental synergism on reaction activity. This collaborative framework combining LLMs, high-throughput experimentation, and advanced modeling offers a new pathway for the efficient development of catalytic materials and mechanistic understanding.

Indexed as

elemental synergistic effectshigh-entropy alloyshigh-throughput experimentationlarge language modelsoxygen reduction reaction

Identifiers

PMID42344309
PMCPMC13289745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.