Toward Reprocessable High‐Performance Elastomer: Self‐Assembly, Dynamic Covalent Chemistry, and Tailorable Properties

The development of elastomers that combine high performance with reprocessability is essential to meet extreme operational demands while addressing sustainability challenges. Polyurethane elastomers, as a representative class of high-performance elastomers, derive their exceptional toughness, flexibility, and durability from precisely engineered microphase-separated structures formed by self-assembly. Advances in characterization methodologies and molecular design strategies have enabled the optimization of static, dynamic, and stimuli-responsive properties, broadening their application in emerging fields. At the same time, reprocessability is achieved through dynamic covalent chemistry, which allows topological rearrangement of crosslinked networks without loss of integrity. Covalent adaptable networks provide a theoretical framework to link molecular exchange mechanisms with macroscopic viscoelasticity, self-healing, and processing behavior. Recent studies demonstrate that incorporating dynamic covalent chemistry into polyurethane elastomers and related elastomer systems enables closed-loop recycling and sustainable nanocomposite design while retaining mechanical robustness. This review highlights integrated strategies that bridge microphase engineering and dynamic network chemistry, and discusses opportunities and challenges in advancing high-performance, recyclable elastomers toward practical deployment.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-12-12
DOI
https://doi.org/10.1002/adma.202515432
Citations
4
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
2.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Reprocessable High‐Performance Elastomer: Self‐Assembly, Dynamic Covalent Chemistry, and Tailorable Properties

Jiajun Qu, Yushu Tian, Hengheng Zhao, Jun Liu et al.
4 citations
Advanced Materials
Polymer composites and self-healing
2.43
article

Toward Reprocessable High‐Performance Elastomer: Self‐Assembly, Dynamic Covalent Chemistry, and Tailorable Properties

Jiajun Qu, Yushu Tian, Hengheng Zhao, Jun Liu, Liqun Zhang, Jiadong Wang, Siqi Zhan, Xuan Qin
article en
4 citations

Abstract

The development of elastomers that combine high performance with reprocessability is essential to meet extreme operational demands while addressing sustainability challenges. Polyurethane elastomers, as a representative class of high-performance elastomers, derive their exceptional toughness, flexibility, and durability from precisely engineered microphase-separated structures formed by self-assembly. Advances in characterization methodologies and molecular design strategies have enabled the optimization of static, dynamic, and stimuli-responsive properties, broadening their application in emerging fields. At the same time, reprocessability is achieved through dynamic covalent chemistry, which allows topological rearrangement of crosslinked networks without loss of integrity. Covalent adaptable networks provide a theoretical framework to link molecular exchange mechanisms with macroscopic viscoelasticity, self-healing, and processing behavior. Recent studies demonstrate that incorporating dynamic covalent chemistry into polyurethane elastomers and related elastomer systems enables closed-loop recycling and sustainable nanocomposite design while retaining mechanical robustness. This review highlights integrated strategies that bridge microphase engineering and dynamic network chemistry, and discusses opportunities and challenges in advancing high-performance, recyclable elastomers toward practical deployment.

Advanced Materials
Beijing University of Chemical Technology (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 10%
Polymer composites and self-healing
2.43
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.