Related Experiment Video
Updated: May 24, 2025

Preparation of Monodomain Liquid Crystal Elastomers and Liquid Crystal Elastomer Nanocomposites
Published on: February 6, 2016
Fabricating Remote-Controllable Dynamic Ionomer/CNT Networks via Cation-π Interaction for Multi-Responsive Shape
Yi Xiao1, Dan Liu1, Ling-Ying Shi2
1The Collaborative Innovation Center for Eco-Friendly and Fire-Safety Polymeric Materials (MoE), National Engineering Laboratory of Eco-Friendly Polymeric Materials (Sichuan), State Key Laboratory of Polymer Materials Engineering, College of Chemistry, Sichuan University, Chengdu 610064, China.
Abstract:
Shape memory polymers (SMPs) with remotely controllable triggering capabilities are crucial for actuating applications in biomedical and aeronautic devices. This work presents a novel ionomer/carbon nanotube (CNT) composite network with exceptional remotely controllable shape memory effects (SMEs) and self-healing capabilities. By integrating quaternary ammonium (QA) units covalently bonded to crystalline polycaprolactone (PCL) segments through a chain extension reaction, we not only enabled the formation of ion clusters that act as netpoints in PCLQA ionomers to achieve superior SMEs, but also facilitated the generation of cation-π interactions when the multiresponsive CNTs were incorporated into the PCLQA ionomer matrix. This resulted in a robust physical PCLQA@CNT network stabilized by ionic clusters and cation-π interactions, along with significantly enhanced CNT dispersion. The PCLQA@CNT composites demonstrated remarkably improved mechanical performance (tensile strength, σb > 40 MPa; elongation at break, εb > 1900%), excellent thermally induced SME (shape fixity ratio of 99.6% and shape recovery ratio of 92.3%), and exceptional antibacterial effects (>99% against Escherichia coli and Staphylococcus aureus). Furthermore, the physical dynamic interactions endowed PCLQA@CNT networks with reproducibility and welding capability. The remotely controllable shape memory and self-healing behaviors via NIR and electrical stimulation were verified and demonstrated. This work paves the way for developing remotely controllable shape memory materials for advanced intelligent devices and applications.
Related Concept Videos
Anionic Chain-Growth Polymerization: Overview
Cationic Chain-Growth Polymerization: Mechanism

