Evidence map›Paper›PMID 37854950›Full record

ReviewNational science review2023

Application of neutron imaging in observing various states of matter inside lithium batteries.

Lei Gao, Songbai Han, Haijin Ni, Jinlong Zhu, Liping Wang, Song Gao, Yonggang Wang, Dubin Huang, Yusheng Zhao, Ruqiang Zou

Open access · goldAbstract readReview
In one paragraph

Review in National science review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. Review
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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

10 authors at 2 institutions in 1 country.

Lei GaoSchool of Materials Science and Engineering, Peking University, Beijing 100871, China.
Songbai HanAcademy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen 518055, China.
Haijin NiDepartment of Physics, Southern University of Science and Technology, Shenzhen 518055, China.
Jinlong ZhuDepartment of Physics, Southern University of Science and Technology, Shenzhen 518055, China.
Liping WangAcademy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen 518055, China.
Song GaoSchool of Materials Science and Engineering, Peking University, Beijing 100871, China.
Yonggang WangSchool of Materials Science and Engineering, Peking University, Beijing 100871, China.
Dubin HuangSchool of Materials Science and Engineering, Peking University, Beijing 100871, China.
Yusheng ZhaoEastern Institute for Advanced Study, Ningbo 315201, China.
Ruqiang ZouSchool of Materials Science and Engineering, Peking University, Beijing 100871, China.
Peking University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium batteries have been essential technologies and become an integral part of our daily lives, powering a range of devices from phones to electric vehicles. To fully understand and optimize the performance of lithium batteries, it is necessary to investigate their internal states and processes through various characterization methods. Neutron imaging has been an indispensable complementary characterization technique to X-ray imaging or electron microscopy because of the unique interaction principle between neutrons and matter. It provides particular insights into the various states of matter inside lithium batteries, including the Li

Indexed as

electrodeselectrolyteslithium batteryneutron imaging

Identifiers

PMID37854950
PMCPMC10581545
OpenAlexW4386758620

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.