Evidence map›Paper›PMID 41973347›Full record

ReviewNano-micro letters2026

A Roadmap for Extreme-Mechanics Hydrogels: From Toughening Mechanisms to Intelligent System Integration.

Aixin Tong, Zhiyu Huang, Annan He, Sijie Qiao, Zhicheng Shi, Xiaotian Wang, Zhen Chen, Peiying Hu, Kai Wang, Jin Qian and 2 more

Abstract readReview
In one paragraph

Review in Nano-micro letters, 2026. 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. Review
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.

Aixin TongState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Zhiyu HuangState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Annan HeState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Sijie QiaoState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Zhicheng ShiState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Xiaotian WangState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Zhen ChenState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China. czhen@wtu.edu.cn.
Peiying HuState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China. pyhu2021@sinano.ac.cn.
Kai WangHuanjiang Laboratory, Zhuji, 311800, People's Republic of China. kaikaiwang@zju.edu.cn.
Jin QianHuanjiang Laboratory, Zhuji, 311800, People's Republic of China.
Weilin XuState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China.
Fengxiang ChenState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan, 430073, People's Republic of China. fxchen_czx@wtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogels, as water-rich, three-dimensional polymer networks, have emerged as essential materials across diverse fields including bio-integrated electronics, load-bearing biomedical implants, and soft robotics. However, conventional hydrogels often fail under mechanical extremes, limiting their deployment in mechanically demanding environments. This review bridges this gap by presenting a transformative design paradigm that shifts the focus from merely robust hydrogels to intelligently adaptive systems capable of withstanding and dynamically responding to extreme mechanical environments. We first deconstruct the fundamental toughening mechanisms-including sacrificial bonding, topological entanglements, and nanocomposite reinforcement-that form the foundation of mechanical robustness. Moving beyond static strength, we critically examine how stimuli-responsive elements (e.g., temperature, light, pH, magnetic fields) can be integrated to enable real-time, dynamic modulation of mechanical properties. Advanced fabrication strategies, particularly bioinspired structuring and 3D printing, are highlighted as essential tools for achieving hierarchical architectures that optimize stress distribution and functional integration. Finally, we showcase pioneering applications in artificial muscles, wearable sensors, and adaptive tissue scaffolds, culminating in a forward-looking perspective on the convergence of artificial intelligence, multiscale modeling, and self-growing materials to guide the development of next-generation autonomous hydrogel systems.

Indexed as

ApplicationsExtreme-mechanicsHydrogelsMechanismsSynthesis

Identifiers

PMID41973347
PMCPMC13076860

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.