Evidence map›Paper›PMID 39995462›Full record

ArticleRSC advances2025

Honeycomb-like MnO/C hybrids with strong interfacial interactions for aqueous zinc-ion batteries.

Lin Li, Zhongcai Zhang, Yuan Ge, Ya Zhao, Wenru Wu, Xianliang Meng, Jiaxin Fan

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Lin LiSchool of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou 221116 China meng27@cumt.edu.cn.ORCID https://orcid.org/0009-0000-2954-9900
Zhongcai ZhangSchool of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou 221116 China meng27@cumt.edu.cn.
Yuan GeSchool of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou 221116 China meng27@cumt.edu.cn.ORCID https://orcid.org/0009-0006-7193-7716
Ya ZhaoCollege of Environmental and Chemical Engineering, Dalian University Dalian 116622 Liaoning China.
Wenru WuSchool of Chemistry and Materials Engineering, Liupanshui Normal University Liupanshui Guizhou 553000 China fmf_fjx@lpssy.edu.cn.
Xianliang MengSchool of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou 221116 China meng27@cumt.edu.cn.ORCID https://orcid.org/0000-0001-9706-7102
Jiaxin FanSchool of Chemistry and Materials Engineering, Liupanshui Normal University Liupanshui Guizhou 553000 China fmf_fjx@lpssy.edu.cn.ORCID https://orcid.org/0009-0004-2401-0964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aqueous zinc-ion batteries (AZIBs) have garnered significant attention for large-scale energy storage applications due to their high theoretical capacity, low cost, and inherent safety. However, the absence of cathode materials exhibiting superior electrochemical performance severely impedes their further development. In this study, we report a metal-organic framework (MOF)-derived honeycomb-like MnO/C hybrid as a high-performance cathode material for AZIBs. A facile synthesis method was employed to uniformly embed MnO nanoparticles within a carbon matrix, thereby forming a honeycomb-like structure with robust heterointerfaces. This unique architecture provides efficient pathways for ion and electron transport, significantly enhancing structural stability and electrochemical performance. The MnO/C hybrid exhibits a high discharge specific capacity of 388 mA h g

Identifiers

PMID39995462
PMCPMC11848712

What OpenQuestion holds

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Registered trials

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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.