Evidence map›Paper›PMID 40301368›Full record

ArticleNature communications2025

Tough fiber-reinforced composite ionogels with crack resistance surpassing metals.

Xiaolin Lyu, Kun Yu, Haoqi Zhang, Piaopiao Zhou, Zhihao Shen, Zhigang Zou

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Xiaolin LyuKey Laboratory of Advanced Materials Technologies, College of Materials Science and Engineering, Fuzhou University, Fuzhou, China. lyuxiaolin@fzu.edu.cn.ORCID http://orcid.org/0000-0003-4221-6806
Kun YuKey Laboratory of Advanced Materials Technologies, College of Materials Science and Engineering, Fuzhou University, Fuzhou, China.
Haoqi ZhangKey Laboratory of Advanced Materials Technologies, College of Materials Science and Engineering, Fuzhou University, Fuzhou, China.
Piaopiao ZhouDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China. zhoupiaopiao@fjmu.edu.cn.
Zhihao ShenKey Laboratory of Polymer Chemistry and Physics of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-2858-555X
Zhigang ZouKey Laboratory of Advanced Materials Technologies, College of Materials Science and Engineering, Fuzhou University, Fuzhou, China. zgzou@nju.edu.cn.ORCID http://orcid.org/0000-0003-2092-8335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ion-conductive materials have received much attention because of their good mechanical and electrical properties. However, their practical applications are still hampered by limited toughness and crack resistance, stemming from the restricted size of energy dissipation zones, which impacts their reliability and durability. Herein, tough fiber-reinforced composite ionogels (FRCIs) with crack resistance are fabricated by incorporating high-performance fibers into elastic ionogels to efficiently dissipate energy. The FRCIs exhibit good tearing toughness, high strength, high elastic modulus, and low bending modulus. The toughness and crack resistance of the FRCI far exceed that of previously reported gel materials, even outperforming metals and alloys. Furthermore, the electrical resistance of FRCI shows high sensitivity to deformation. Moreover, it remains undamaged after undergoing 10,000 bending cycles when fixing the artificial bone, and possesses self-sensing impact resistance, demonstrating great potential in intelligent robots and smart protective equipment.

Identifiers

PMID40301368
PMCPMC12041386

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.