Evidence map›Paper›PMID 39184006›Full record

ReviewRSC advances2024

Research progress of functional MXene in inhibiting lithium/zinc metal battery dendrites.

Haiyan Wang, Mengxin Ning, Min Sun, Bin Li, Yachuan Liang, Zijiong Li

Abstract readReview
In one paragraph

Review in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Recent advances in TiNanoscale advances · 2026
    Review
  2. Review
  3. 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.

Haiyan WangAcademy for Quantum Science and Technology, Zhengzhou University of Light Industry Zhengzhou 450002 PR China haiyan.wang@163.com.ORCID https://orcid.org/0009-0002-2297-1441
Mengxin NingSchool of Electronics and Information, Zhengzhou University of Light Industry Zhengzhou 450002 PR China zijongli@zzuli.edu.cn.
Min SunSchool of Electronics and Information, Zhengzhou University of Light Industry Zhengzhou 450002 PR China zijongli@zzuli.edu.cn.
Bin LiSchool of Electronics and Information, Zhengzhou University of Light Industry Zhengzhou 450002 PR China zijongli@zzuli.edu.cn.
Yachuan LiangAcademy for Quantum Science and Technology, Zhengzhou University of Light Industry Zhengzhou 450002 PR China haiyan.wang@163.com.
Zijiong LiSchool of Electronics and Information, Zhengzhou University of Light Industry Zhengzhou 450002 PR China zijongli@zzuli.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The layered two-dimensional (2D) MXene has great promise for applications in supercapacitors, batteries, and electrocatalysis due to its large layer spacing, excellent electrical conductivity, good chemical stability, good hydrophilicity, and adjustable layer spacing. Since its discovery in 2011, MXene has been widely used to inhibit the growth of anode dendrites of lithium metal. In the past two years, researchers have used MXene and MXene based materials in the anodes of zinc metal batteries and zinc ion hybrid capacitors, respectively, and made a series of important progressive steps in the inhibition of zinc dendrite growth. In this review, we summarize the research progress of functional MXenes in inhibiting the growth of lithium and zinc metal anode dendrites, and provide a brief overview and outlook on the current challenges of MXene materials, which will help researchers to further understand the methods and their mechanisms, thus to develop novel electrochemical energy storage systems to meet the needs of rapidly developing electric vehicles and wearable/portable electronics.

Identifiers

PMID39184006
PMCPMC11343041

What OpenQuestion holds

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LicenceCC BY-NC
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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.