Evidence map›Paper›PMID 40877305›Full record

ArticleNature communications2025

Bioinspired interfacial nanofluidic layer enabling high-rate and dendrite-free lithium metal negative electrodes.

Chunlei Song, Lyuming Pan, Junxiu Wu, Lu Chen, He Zhao, Hongji Pan, Shumin Wu, Liu Yang, Yanxin Jiang, Yiju Li and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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. Article
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

12 authors.

Chunlei Song *Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.ORCID http://orcid.org/0009-0002-7866-8150
Lyuming Pan *Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.ORCID http://orcid.org/0000-0002-6192-8385
Junxiu Wu *College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, PR China.
Lu ChenDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.
He ZhaoDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.
Hongji PanDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.ORCID http://orcid.org/0009-0008-7741-7169
Shumin WuDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.
Liu YangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.
Yanxin JiangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China.
Yiju LiDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China. liyj6@sustech.edu.cn.ORCID http://orcid.org/0000-0001-9240-5686
Jun LuCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou, PR China. junzoelu@zju.edu.cn.ORCID http://orcid.org/0000-0003-0858-8577
Tianshou ZhaoDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, PR China. zhaots@sustech.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium metal negative electrodes are highly promising for high-specific-energy batteries due to their low electrochemical potential and high capacity. However, dendrite growth due to limited Li

Identifiers

PMID40877305
PMCPMC12394606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.