Evidence map›Paper›PMID 41245760›Full record

ReviewChemical science2025

Bridging MOF properties to 3D printing: a framework for electrochemical energy storage architectures with synergistic porosity-ion dynamics.

Chenfei Zhou, Huijie Zhou, Xinyu Qin, Shunyu Gu, Mengyao Zhang, Jifan Chen, Lingfeng Zhai, Huan Pang

Abstract readReview
In one paragraph

Review in Chemical science, 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

8 authors.

Chenfei ZhouSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Huijie ZhouSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Xinyu QinSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Shunyu GuSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Mengyao ZhangSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Jifan ChenSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Lingfeng ZhaiSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.
Huan PangSchool of Chemistry and Materials, Yangzhou University Yangzhou Jiangsu 225009 P. R. China huanpangchem@hotmail.com.ORCID https://orcid.org/0000-0002-5319-0480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-organic frameworks (MOFs) offer exceptional tunability, high porosity, and chemical versatility, positioning them as highly promising candidates for electrochemical energy storage, particularly batteries and supercapacitors. However, their integration into 3D printingplatforms remains hindered by rheological limitations and structural fragility. This review introduces a property-oriented design framework that strategically aligns key MOF attributes-mechanical flexibility, electrical conductivity, and thermal stability-with specific 3D printing techniques, including Direct Ink Writing (DIW), Fused Deposition Modeling (FDM), Digital Light Processing (DLP), and Selective Laser Sintering (SLS). By leveraging ligand engineering and composite formulation, MOF mechanical-electrochemical properties can be tuned to meet the requirements of various AM methods. This enables the fabrication of advanced battery and supercapacitor electrodes featuring hierarchical porosity, optimized ion transport, and mechanical robustness. We systematically review MOF precursor formats (inks, filaments, resins, powders) and post-processing strategies such as

Identifiers

PMID41245760
PMCPMC12616413

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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.