Evidence map›Paper›PMID 38838165›Full record

ArticleJournal of synchrotron radiation2024

Mapping of lithium ion concentrations in 3D structures through development of in situ correlative imaging of X-ray Compton scattering-computed tomography.

Chu Lun Alex Leung, Matthew D Wilson, Thomas Connolley, Chun Huang

Abstract read
In one paragraph

Article in Journal of synchrotron radiation, 2024. 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. 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.

Chu Lun Alex LeungDepartment of Mechanical Engineering, University College London, London WC1E 7JE, United Kingdom.
Matthew D WilsonSTFC-UKRI, Rutherford Appleton Laboratory, Didcot OX11 0QX, United Kingdom.
Thomas ConnolleyDiamond Light Source, Didcot OX11 0QX, United Kingdom.ORCID 0000-0002-1851-3467
Chun HuangResearch Complex at Harwell, Rutherford Appleton Laboratory, Didcot OX11 0FA, United Kingdom.

Funding

Engineering and Physical Sciences Research Council EP/P006566/1Engineering and Physical Sciences Research Council EP/S001239/1, EP/S001239/2Engineering and Physical Sciences Research Council EP/V061798/1Engineering and Physical Sciences Research Council EP/W003333/1Engineering and Physical Sciences Research Council EP/W006774/1Engineering and Physical Sciences Research Council EP/W037483/1Engineering and Physical Sciences Research Council EP/X52556X/1Faraday Institution FIIF015Faraday Institution FIRG060Faraday Institution FIRG066Faraday Institution FITG034H2020 European Research Council EP/Y009908/1
6 · The paper itself

Abstract

Understanding the correlation between chemical and microstructural properties is critical for unraveling the fundamental relationship between materials chemistry and physical structures that can benefit materials science and engineering. Here, we demonstrate novel in situ correlative imaging of the X-ray Compton scattering computed tomography (XCS-CT) technique for studying this fundamental relationship. XCS-CT can image light elements that do not usually exhibit strong signals using other X-ray characterization techniques. This paper describes the XCS-CT setup and data analysis method for calculating the valence electron momentum density and lithium-ion concentration, and provides two examples of spatially and temporally resolved chemical properties inside batteries in 3D. XCS-CT was applied to study two types of rechargeable lithium batteries in standard coin cell casings: (1) a lithium-ion battery containing a cathode of bespoke microstructure and liquid electrolyte, and (2) a solid-state battery containing a solid-polymer electrolyte. The XCS-CT technique is beneficial to a wide variety of materials and systems to map chemical composition changes in 3D structures.

Indexed as

ion concentrationsion transportmicrostructurestomographyXCS-CTX-ray Compton scattering computed tomography

Identifiers

PMID38838165
PMCPMC11226152

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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.