Evidence map›Paper›PMID 39974322›Full record

ReviewChem & bio engineering2024

Probing Multiscale Dynamics of Energy-Dense Batteries by Operando Imaging.

Weidong Zhang, Yilu Song, Xinran Du, Junze Guo, Yingying Lu, Xianwen Mao

Abstract readReview
In one paragraph

Review in Chem & bio engineering, 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

6 authors.

Weidong ZhangDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.ORCID https://orcid.org/0000-0001-9556-3735
Yilu SongDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.
Xinran DuDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.
Junze GuoSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.
Yingying LuCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0001-9713-8441
Xianwen MaoDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.ORCID https://orcid.org/0000-0002-5156-4493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing development of electric cars and portable electronic devices, the demand for advanced batteries with high energy density, long cycling lifespan, and enhanced safety is growing rapidly. In closed battery systems, a number of complex dynamic behaviors occur during cycling processes, such as chemical and structural changes of electrode particles, formation of solid electrolyte interphase (SEI), evolution of conducting electrode networks and distribution of electrolytes, all of which collectively impact the battery performance markedly. Conventional postcycling and bulk-level, ensemble-averaged electrochemical characterization techniques encounter challenges in establishing clear relationships between the micro/mesoscale structures of battery materials and the overall macroscopic device performance. In this review, we provide a timely overview of recent developments in operando imaging for multiscale characterization of batteries, spanning from sub/single-particle levels and interfaces to the electrode network and full battery levels. Operando imaging techniques shed light on the multiscale dynamic evolution mechanisms within closed battery systems, uncovering deeper understandings of the key factors that govern overall battery performance.

Identifiers

PMID39974322
PMCPMC11792911

What OpenQuestion holds

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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.