Evidence map›Paper›PMID 38577377›Full record

ReviewChemical science2024

Structural engineering of atomic catalysts for electrocatalysis.

Tianmi Tang, Xue Bai, Zhenlu Wang, Jingqi Guan

Abstract readReview
In one paragraph

Review in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Bidirectional Soft Catalysts for Improved Power Performance of Li-S Batteries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
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  4. Review
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  8. First-Principles Study on the CONanomaterials (Basel, Switzerland) · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. 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

4 authors.

Tianmi TangInstitute of Physical Chemistry, College of Chemistry, Jilin University Changchun 130021 PR China guanjq@jlu.edu.cn.
Xue BaiInstitute of Physical Chemistry, College of Chemistry, Jilin University Changchun 130021 PR China guanjq@jlu.edu.cn.
Zhenlu WangInstitute of Physical Chemistry, College of Chemistry, Jilin University Changchun 130021 PR China guanjq@jlu.edu.cn.ORCID https://orcid.org/0000-0001-9862-5057
Jingqi GuanInstitute of Physical Chemistry, College of Chemistry, Jilin University Changchun 130021 PR China guanjq@jlu.edu.cn.ORCID https://orcid.org/0000-0002-8498-1963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a burgeoning category of heterogeneous catalysts, atomic catalysts have been extensively researched in the field of electrocatalysis. To satisfy different electrocatalytic reactions, single-atom catalysts (SACs), diatomic catalysts (DACs) and triatomic catalysts (TACs) have been successfully designed and synthesized, in which microenvironment structure regulation is the core to achieve high-efficiency catalytic activity and selectivity. In this review, the effect of the geometric and electronic structure of metal active centers on catalytic performance is systematically introduced, including substrates, central metal atoms, and the coordination environment. Then theoretical understanding of atomic catalysts for electrocatalysis is innovatively discussed, including synergistic effects, defect coupled spin state change and crystal field distortion spin state change. In addition, we propose the challenges to optimize atomic catalysts for electrocatalysis applications, including controlled synthesis, increasing the density of active sites, enhancing intrinsic activity, and improving the stability. Moreover, the structure-function relationships of atomic catalysts in the CO

Identifiers

PMID38577377
PMCPMC10988631

What OpenQuestion holds

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Registered trials

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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.