Programmable Shape Recovery Onset Temperatures via Phase‐Separated Dual‐Network Polymers

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Authors: Xinchao Sun, Qiankun Zhang, Dequan Chi, Chao Wu, Xiaonan Wang, Lingyu Xu, Zhongjun Cheng, Zhimin Xie, Shumao Li, Dongjie Zhang, Yuyan Liu
Cited by: 1
References: 33

Abstract

ABSTRACT Shape memory polymers (SMPs) are promising for soft robotics and artificial muscles, yet their applicability is largely limited by their recovery onset temperature ( T on ). However, conventional T on regulation relies on compositional changes or complex post‐treatments, hindering the integration of multiple, precisely defined T on within one system. Here, we present a simple strategy to continuously tune T on (28°C–85°C) by controlling phase structures in chemical fixed dual‐network polymers via polymerization‐induced phase separation (PIPS). Furthermore, digital light processing (DLP) enables spatial programming of T on within a single material, allowing the fabrication of fiber actuators with programmable energy release, exhibiting a fourfold difference in release rate and stable performance over 120 cycles. This work provides a new route for designing SMP‐based intelligent actuators, soft robotics, and adaptive systems.

Fields of Study & Subjects

Advanced Materials and Mechanics Polymer composites and self-healing Soft Robotics and Applications

Publication details

Journal / source
Advanced Functional Materials
Publisher
Wiley
Volume
36
Issue
32
Publication date
4 January 2026
Language
EN