Review of the Real-Time Monitoring Technologies for Lithium Dendrites in Lithium-Ion Batteries.

Yifang Liang, Daiheng Song, Wenju Wu, Yanchao Yu, Jun You, Yuanpeng Liu

Abstract readReview

In one paragraph

Review in Molecules (Basel, Switzerland), 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

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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.

Dynamic Smart Membranes: Real-Time Perception, Self-Response, and AI-Driven Optimization for High-Safety Lithium-Based Batteries.Advanced materials (Deerfield Beach, Fla.) · 2026
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.

Yifang LiangKey Laboratory of Green Chemical Engineering and Technology of College of Heilongjiang Province, College of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Daiheng SongNational Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Center for Composite Materials and Structures, Harbin Institute of Technology, Harbin 150080, China.

Wenju WuKey Laboratory of Green Chemical Engineering and Technology of College of Heilongjiang Province, College of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Yanchao YuKey Laboratory of Green Chemical Engineering and Technology of College of Heilongjiang Province, College of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Jun YouKey Laboratory of Green Chemical Engineering and Technology of College of Heilongjiang Province, College of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Yuanpeng LiuNational Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Center for Composite Materials and Structures, Harbin Institute of Technology, Harbin 150080, China.

Funding

National Natural Science Foundation of China NO. 22278098Natural Science Foundation of Chongqing, China Nos. cstc2021jcyj-msxmX1035Science Foundation of the National Key Laboratory of Science and Technology on Advanced Composites in Special Environments JCKYS2022603C015

6 · The paper itself

Abstract

Lithium-ion batteries (LIBs) have the advantage of high energy density, which has attracted the wide attention of researchers. Nevertheless, the growth of lithium dendrites on the anode surface causes short life and poor safety, which limits their application. Therefore, it is necessary to deeply understand the growth mechanism of lithium dendrites. Here, the growth mechanism of lithium dendrites is briefly summarized, and the real-time monitoring technologies of lithium dendrite growth in recent years are reviewed. The real-time monitoring technologies summarized here include in situ X-ray, in situ Raman, in situ resonance, in situ microscopy, in situ neutrons, and sensors, and their representative studies are summarized. This paper is expected to provide some guidance for the research of lithium dendrites, so as to promote the development of LIBs.

Indexed as

in situ/operando characterizationlithium dendritelithium-ion batteryreal-time monitoring technologysensor

Identifiers

PMID38731609

DOI10.3390/molecules29092118

PMCPMC11085516

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