Evidence map›Paper›PMID 40213010›Full record

ArticleSmall science2022

Small-Scale Big Science: From Nano- to Atomically Dispersed Catalytic Materials.

Ligang Wang, Huan Liu, Jiahao Zhuang, Dingsheng Wang

Abstract read
In one paragraph

Article in Small science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Polyphosphazene-Based Nanotherapeutics.Journal of functional biomaterials · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Precise Synthesis at the Atomic Scale.Precision chemistry · 2023
    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

4 authors.

Ligang WangDepartment of Chemistry Tsinghua University Beijing 100084 China.
Huan LiuDepartment of Chemistry Tsinghua University Beijing 100084 China.
Jiahao ZhuangDepartment of Chemistry Tsinghua University Beijing 100084 China.
Dingsheng WangDepartment of Chemistry Tsinghua University Beijing 100084 China.ORCID 0000-0003-0074-7633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of nanomaterials (NMs) has made everyone more aware of the close relationship between the size and performance of materials. Especially, the catalytic properties of materials may change dramatically when the macroscopic size of matter goes from bulk to nanometer to atomic level. It is very firmly believed that "Small size determines macroproperties, contains big science." Therefore, as chemists hope, it is very essential to rationally tune and characterize the size of materials and deeply understand the relationship between macroscopic catalytic properties and small structures. Herein, the recent progress in both multi-scale materials from nanoscale, sub-nano, clusters to atomic scale for various catalytic reactions is focused. Specifically, the catalytic reaction on the microstructures and the relationship between the small scale and big science are comprehensively summarized and discussed. This review systematically spans dimensions to reveal the catalytic performances of materials at different scales with a unique effect. This is crucial for rationally understanding the composition of materials and exploring their catalytic activity. Current opportunities, future challenges, and outlooks for the application of multiscale materials (NMs, sub-nano, cluster, and atomically dispersed materials) in catalysis, energy and environmental protection, etc. are summarized and outlined.

Indexed as

atomically dispersedcatalytic activityclustersnanomaterialssub-nano

Identifiers

PMID40213010
PMCPMC11935868

What OpenQuestion holds

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LicenceCC BY
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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.