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Achieving Multimodal Trainable Self-Strengthening Elastomers Through Mechano-Oxidative Synergistic Induced
Xinghao Fan1, Zhe Chen1, Zhikang Xie1
1Department of Macromolecular Science, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
Angewandte Chemie (International Ed. in English)
|April 15, 2026
Summary
This study introduces a new mechano-oxidative strategy for self-strengthening materials. It uses a novel initiator to enable precise reinforcement under low stress, enhancing soft robotics and impact protection applications.
Area of Science:
- Materials Science
- Polymer Chemistry
- Mechanochemistry
Background:
- Mechanically induced radical crosslinking is key for self-strengthening materials in soft robotics and impact protection.
- Existing methods often require high loads, causing damage and limiting precise reinforcement at low energies.
Purpose of the Study:
- To develop a mechano-oxidative synergistic strategy for efficient, low-energy material self-strengthening.
- To overcome limitations of traditional polymer chain scission methods for radical generation.
Main Methods:
- Incorporation of a mechanosensitive initiator, triethylborane-4-methoxypyridine (TEB-MeOPy), into a block copolymer network.
- Utilizing a synergistic effect between mechanical force and ambient oxygen to generate radicals.
Main Results:
- Efficient, irreversible crosslinking achieved at a low stress of 0.15 MPa.
- Demonstrated self-reinforcement triggered by localized stress fields, bypassing global high stress activation.
- A stress-crosslinking degree model accurately predicted material behavior.
Conclusions:
- The developed strategy enables controlled self-strengthening of elastomers with superior multimodal loading responses.
- This approach overcomes environmental dependencies and high threshold constraints of conventional methods.
- Offers new possibilities for designing next-generation intelligent soft materials driven by mechanochemistry.
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