Achieving Multimodal Trainable Self‐Strengthening Elastomers Through Mechano‐Oxidative Synergistic Induced Crosslinking

X Xinghao Fan (Department of Macromolecular Science State Key Laboratory of Molecular Engineering of Polymers Fudan University Shanghai China) Z Zhe Chen (Gladstone Institutes, San Francisco, CA, USA.) Z Zhikang Xie (State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China) Z Zhenhua Wang X Xiangcheng Pan (State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China)

Abstract

ABSTRACT Mechanically induced radical crosslinking strategies for material self‐strengthening have been widely applied in soft robotics and impact protection. However, this mechanism predominantly relies on polymer chain scission to generate active radicals, necessitating large loads to initiate reactions. This often induces damage and fails to address low‐energy, precise reinforcement needs. Here, we introduce a mechano‐oxidative synergistic strategy by incorporating the mechanosensitive small molecule initiator triethylborane‐4‐methoxypyridine (TEB–MeOPy) into a block copolymer network. At only 0.15 MPa stress, mechanical force synergizes with ambient oxygen to convert TEB–MeOPy into active radicals that drive efficient, irreversible crosslinking in the solid‐state polymer, giving rise to an increment in mechanical strength for elastomers. This enables self‐reinforcement triggered by localized high stress fields, bypassing the need for global high stress activation. Moreover, predictions from our stress–crosslinking degree model match well with the system's dynamic evolution, enabling controlled self‐strengthening of the elastomer. The material exhibits superior responses under multimodal loading, surmounting environmental dependencies in solid‐state polymer and conventional high threshold constraints, offering fresh insights for mechanochemically driven next‐generation intelligent soft materials.

Article Details

Volume / Issue Vol. 65, Issue 22
Published May 25, 2026
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (5)

X

Xinghao Fan

Department of Macromolecular Science State Key Laboratory of Molecular Engineering of Polymers Fudan University Shanghai China

Z

Zhe Chen

Gladstone Institutes, San Francisco, CA, USA.

Z

Zhikang Xie

State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China

Z

Zhenhua Wang

X

Xiangcheng Pan

State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China