Evidence map›Paper›PMID 36133369›Full record

ReviewNanoscale advances2020

There's no place like real-space: elucidating size-dependent atomic structure of nanomaterials using pair distribution function analysis.

Troels Lindahl Christiansen, Susan R Cooper, Kirsten M Ø Jensen

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cation-Site Disordered CuSmall (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  9. Article
  10. Structure of a DNA-Stabilized AgAngewandte Chemie (International ed. in English) · 2025
    Article
  11. Article
  12. Journal of applied crystallography · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. ClusterFinder: a fast tool to find cluster structures from pair distribution function data.Acta crystallographica. Section A, Foundations and advances · 2024
    Article
  18. Journal of applied crystallography · 2024
    Article
  19. Article
  20. 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

3 authors.

Troels Lindahl ChristiansenDepartment of Chemistry and Nanoscience Center, University of Copenhagen 2100 Copenhagen Ø Denmark kirsten@chem.ku.dk.ORCID https://orcid.org/0000-0002-9307-1048
Susan R CooperDepartment of Chemistry and Nanoscience Center, University of Copenhagen 2100 Copenhagen Ø Denmark kirsten@chem.ku.dk.ORCID https://orcid.org/0000-0002-1608-6713
Kirsten M Ø JensenDepartment of Chemistry and Nanoscience Center, University of Copenhagen 2100 Copenhagen Ø Denmark kirsten@chem.ku.dk.ORCID https://orcid.org/0000-0003-0291-217X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of new functional materials builds on an understanding of the intricate relationship between material structure and properties, and structural characterization is a crucial part of materials chemistry. However, elucidating the atomic structure of nanomaterials remains a challenge using conventional diffraction techniques due to the lack of long-range atomic order. Over the past decade, Pair Distribution Function (PDF) analysis of X-ray or neutron total scattering data has become a mature and well-established method capable of giving insight into the atomic structure in nanomaterials. Here, we review the use of PDF analysis and modelling in characterization of a range of different nanomaterials that exhibit unique atomic structure compared to the corresponding bulk materials. A brief introduction to PDF analysis and modelling is given, followed by examples of how essential structural information can be extracted from PDFs using both model-free and advanced modelling methods. We put an emphasis on how the intuitive nature of the PDF can be used for understanding important structural motifs, and on the diversity of applications of PDF analysis to nanostructure problems.

Identifiers

PMID36133369
PMCPMC9418950

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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.