Thermal Switching of Polymer Topology Enables Programmable Mechanical Properties in Soft Materials

Soft materials with on-demand mechanical tunability remain challenging to realize, particularly those capable of large, reversible, and programmable changes within a single material system. In this work, a synthetic elastomer is designed that undergoes thermally reversible topological network reconfiguration, switching between brush- and linear-like architectures, thereby enabling a reversible transition from soft to stiff mechanical states. This reconfiguration is achieved by grafting crystallizable side chains onto a polymer backbone via Diels-Alder (DA) adducts at low annealing temperatures to form brush-like networks, while retro-DA reactions at higher temperatures release the side chains, yielding a linear topology. The brush architecture suppresses crystallization, whereas the linear form facilitates crystallinity to form an additional crystalline framework, leading to a reversible rubbery-to-glassy transition. As a result, the elastomers undergoing annealing cycles between 60 and 130 °C exhibit reversible enhancements in stiffness and strength by up to 286-fold and 25-fold, respectively. Coarse-grained molecular dynamics (CGMD) simulations reveal that the significantly improved stiffness and strength originate from the formation of a crystalline framework that effectively bears mechanical load and impedes crack propagation. This thermally programmable strategy enables dynamic control of mechanical behavior, offering a novel paradigm for designing intelligent materials with tailored and on-demand performance.

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Publication Details

Journal
Advanced Materials
Published
2025-12-06
DOI
https://doi.org/10.1002/adma.202518403
Primary Topic
Polymer composites and self-healing
Type
article
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article

Thermal Switching of Polymer Topology Enables Programmable Mechanical Properties in Soft Materials

Taolin Sun, Shuming Cui, Jiuling Wang, Liqun Tang et al.
Advanced Materials
Polymer composites and self-healing
article

Thermal Switching of Polymer Topology Enables Programmable Mechanical Properties in Soft Materials

Taolin Sun, Shuming Cui, Jiuling Wang, Liqun Tang, Panchao Yin, Yang Hong-yan, Zhiwei Fan, Xiaolin Jin, Shenglin Yao, Jiaqi Li, Wei Zhang
article en

Abstract

Soft materials with on-demand mechanical tunability remain challenging to realize, particularly those capable of large, reversible, and programmable changes within a single material system. In this work, a synthetic elastomer is designed that undergoes thermally reversible topological network reconfiguration, switching between brush- and linear-like architectures, thereby enabling a reversible transition from soft to stiff mechanical states. This reconfiguration is achieved by grafting crystallizable side chains onto a polymer backbone via Diels-Alder (DA) adducts at low annealing temperatures to form brush-like networks, while retro-DA reactions at higher temperatures release the side chains, yielding a linear topology. The brush architecture suppresses crystallization, whereas the linear form facilitates crystallinity to form an additional crystalline framework, leading to a reversible rubbery-to-glassy transition. As a result, the elastomers undergoing annealing cycles between 60 and 130 °C exhibit reversible enhancements in stiffness and strength by up to 286-fold and 25-fold, respectively. Coarse-grained molecular dynamics (CGMD) simulations reveal that the significantly improved stiffness and strength originate from the formation of a crystalline framework that effectively bears mechanical load and impedes crack propagation. This thermally programmable strategy enables dynamic control of mechanical behavior, offering a novel paradigm for designing intelligent materials with tailored and on-demand performance.

Advanced MaterialsVol. 38(9)
Beijing Institute of Technology (CN), Chinese Academy of Sciences (CN), National Center for Nanoscience and Technology (CN), South China University of Technology (CN)
Openalex Percentile: Top 65%
Polymer composites and self-healing
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