Nanoporous Metal-Organic Framework Interphase Stabilized Ni

Yifei Yang, Yuzhu Tian, Xiaofei Deng, Junwei Han, Xinyu Lu, Mingzhen Xiu, Hao Bin Wu

Abstract read

In one paragraph

Article in ChemSusChem, 2026. 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.

Yifei YangInstitute for Composites Science Innovation (InCSI), State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.

Yuzhu TianInstitute for Composites Science Innovation (InCSI), State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.

Xiaofei DengInstitute for Composites Science Innovation (InCSI), State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.

Junwei HanInstitute for Composites Science Innovation (InCSI), State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.

Xinyu LuInstitute for Composites Science Innovation (InCSI), State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.

Mingzhen XiuInstitute of Wenzhou, Zhejiang University, Wenzhou, China.ORCID https://orcid.org/0000-0003-0813-4217

Hao Bin WuInstitute for Composites Science Innovation (InCSI), State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0725-6442

Funding

Fundamental Research Funds for the Central Universities 226-2024-00075

6 · The paper itself

Abstract

Ni-rich layered oxide cathodes have been widely used in high-energy-density lithium-ion batteries, yet they often suffer from interfacial degradation, transition metal dissolution, and structural instability during prolonged cycling. Herein, we report a facile mechanical fusion strategy to construct a Zn-based metal-organic framework (MOF) coating on Ni-rich NCM622 particles. The nanoporous ZIF-8 layer functions as an ionic sieve that regulates Li

Indexed as

cathode–electrolyte interphaseLi+ desolvationlithium metal batteriesmetal‐organic frameworksnickel‐rich cathodes

Identifiers

PMID42489352

DOI10.1002/cssc.70913

PMCPMC13393341

What OpenQuestion holds

Textmetadata

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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.