Evidence map›Paper›PMID 36755717›Full record

ReviewChemical science2023

Designing strategies and enhancing mechanism for multicomponent high-entropy catalysts.

Haitao Xu, Zeyu Jin, Yinghe Zhang, Xi Lin, Guoqiang Xie, Xingjun Liu, Hua-Jun Qiu

Abstract readReview
In one paragraph

Review in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Configuring a Liquid State High-Entropy Metal Alloy Electrocatalyst.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  4. Unlocking Methane Generation via Photo-Thermal-Coupled COAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
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

7 authors.

Haitao XuSchool of Materials Science and Engineering, Dongguan University of Technology Dongguan 523808 China.ORCID https://orcid.org/0000-0002-1438-4522
Zeyu JinSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China qiuhuajun@hit.edu.cn.
Yinghe ZhangSchool of Science, Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China.
Xi LinSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China qiuhuajun@hit.edu.cn.
Guoqiang XieSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China qiuhuajun@hit.edu.cn.
Xingjun LiuSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China qiuhuajun@hit.edu.cn.
Hua-Jun QiuSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China qiuhuajun@hit.edu.cn.ORCID https://orcid.org/0000-0003-0396-1942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-entropy materials (HEMs) are new-fashioned functional materials in the field of catalysis owing to their large designing space, tunable electronic structure, interesting "cocktail effect", and entropy stabilization effect. Many effective strategies have been developed to design advanced catalysts for various important reactions. Herein, we firstly review effective strategies developed so far for optimizing HEM-based catalysts and the underlying mechanism revealed by both theoretical simulations and experimental aspects. In light of this overview, we subsequently present some perspectives about the development of HEM-based catalysts and provide some serviceable guidelines and/or inspiration for further studying multicomponent catalysts.

Identifiers

PMID36755717
PMCPMC9890551

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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.