Force‐Trainable Liquid Crystal Elastomer Enabled by Mechanophore‐Induced Radical Polymerization

In nature, organisms adapt to environmental changes through training to learn new abilities, offering valuable insights for developing intelligent materials. However, replicating this "adaptive learning" in synthetic materials presents a significant challenge. This study introduces a feasible approach to train liquid crystal elastomers (LCEs) by integrating a mechanophore tetraarylsuccinonitrile into their main chain, addressing the challenge of enabling synthetic materials to exchange substances with their environment. Inspired by biological training, the LCEs can self-strengthen and acquire new functionalities through mechanical stress-induced radical polymerization. The research not only enhances the mechanical performance of LCEs, but also endows them with the ability to learn properties such as flexibility, light responsiveness, and fluorescence. These advancements are crucial for overcoming the limitations of current materials, paving the way for the creation of advanced intelligent soft materials with autonomous self-improvement, akin to the adaptive skills of living organisms.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-01-27
DOI
https://doi.org/10.1002/anie.202423584
Citations
19
Primary Topic
Cellular Mechanics and Interactions
Type
article
Field-Weighted Citation Impact
21.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Force‐Trainable Liquid Crystal Elastomer Enabled by Mechanophore‐Induced Radical Polymerization

Yinliang Huang, Hong Yang, Shuai Huang, Yiyi Xu et al.
19 citations
Angewandte Chemie International Edition
Cellular Mechanics and Interactions
21.88
article

Force‐Trainable Liquid Crystal Elastomer Enabled by Mechanophore‐Induced Radical Polymerization

Yinliang Huang, Hong Yang, Shuai Huang, Yiyi Xu, Quan Li, Jinyu Wang
article en
19 citations

Abstract

In nature, organisms adapt to environmental changes through training to learn new abilities, offering valuable insights for developing intelligent materials. However, replicating this "adaptive learning" in synthetic materials presents a significant challenge. This study introduces a feasible approach to train liquid crystal elastomers (LCEs) by integrating a mechanophore tetraarylsuccinonitrile into their main chain, addressing the challenge of enabling synthetic materials to exchange substances with their environment. Inspired by biological training, the LCEs can self-strengthen and acquire new functionalities through mechanical stress-induced radical polymerization. The research not only enhances the mechanical performance of LCEs, but also endows them with the ability to learn properties such as flexibility, light responsiveness, and fluorescence. These advancements are crucial for overcoming the limitations of current materials, paving the way for the creation of advanced intelligent soft materials with autonomous self-improvement, akin to the adaptive skills of living organisms.

Angewandte Chemie International EditionVol. 64(15)
Kent State University (US), Southeast University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 0%
Cellular Mechanics and Interactions
21.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.