Evidence map›Paper›PMID 40475947›Full record

ArticleJournal of applied crystallography2025

Classification and statistical analysis of structural disorder in crystalline materials.

Dmytro Antypov, Chris M Collins, Matthew S Dyer, John B Claridge, Matthew J Rosseinsky

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Dmytro AntypovLeverhulme Research Centre for Functional Materials Design Materials Innovation Factory University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0003-1893-7785
Chris M CollinsLeverhulme Research Centre for Functional Materials Design Materials Innovation Factory University of Liverpool Liverpool UK.
Matthew S DyerDepartment of Chemistry University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0002-4923-3003
John B ClaridgeDepartment of Chemistry University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0003-4849-6714
Matthew J RosseinskyDepartment of Chemistry University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0002-1910-2483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 50% of entries in the Inorganic Crystal Structure Database (ICSD; https://www.fiz-karlsruhe.de/en) exhibit some form of structural disorder. This work aims to provide a thorough analysis of structurally disordered materials within the ICSD, using data extracted from crystallographic information files. To achieve this, we derive a classification of structurally disordered crystalline materials described by their spatially averaged structures and introduce a range of quantitative measures of structural disorder. The overarching aim of this classification and analysis is to facilitate high-throughput and machine learning studies of disordered materials. To demonstrate the application of our approach, we perform statistical analysis of the disordered compounds reported in the ICSD to identify general trends in the distribution of disorder across different chemical elements, structures and classes of materials.

Indexed as

CIFsconfigurational entropydisorder classificationentropy calculationmixing entropy

Identifiers

PMID40475947
PMCPMC12135987

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.