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Research Article | Open Access | Just Accepted

Programmable carbon nanotube/shape memory polymer composite fibers with both high actuation strain and stress

Meng Li1,2Kun Chen2Ding Zhang1Ziming Ye2Qi Wang2Zhifan Jiang2Yingjiu Zhang1Yuanyuan Shang1( )Anyuan Cao2 ( )

1 Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China

2 State Key Laboratory of Advanced Waterproof Materials, School of Materials Science and Engineering, Peking University, Beijing 100871, China

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Abstract

Shape memory composite fiber actuators have been extensively studied due to their excellent flexibility, weavability, actuation performance, and low-cost continuous fabrication. However, integrating both high actuation strain and high actuation stress within a single fiber-based material system remains a key challenge. In this study, we developed a high-performance shape memory composite fiber using a scalable wet-spinning process. The fiber exhibited 15 MPa actuation stress and up to 76% actuation strain within 1 s during thermal shrinkage, along with a high work capacity of 1339 J kg-1. The electrical actuation achieved through efficient Joule heating also demonstrated 13 MPa actuation stress. Mechanistic analysis revealed excellent interfacial bonding between carbon nanotubes (CNTs) and the polymer (polyurethane) matrix. Furthermore, the combined effect of CNTs and crystalline regions promoted tensile alignment of polymer chains, leading to improved mechanical and actuation properties of the fiber. This study demonstrated that the fiber structure enabled integrated actuation and programmed deformation in various 2D/3D configurations, with promising applications in future intelligent soft robotics, wearable devices, and smart textiles.

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Cite this article:
Li M, Chen K, Zhang D, et al. Programmable carbon nanotube/shape memory polymer composite fibers with both high actuation strain and stress. Nano Research, 2026, https://doi.org/10.26599/NR.2026.94908858

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Received: 09 February 2026
Revised: 29 April 2026
Accepted: 21 May 2026
Available online: 21 May 2026

© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/)