Enabling High-Toughness Self-Healing Phase-Change Materials via a Dynamic Supramolecular Network

Conventional solid–solid phase change materials (PCMs) based on covalent cross-linking effectively address leakage issues but suffer from a lack of high toughness and self-healing capability. To overcome these limitations, a high-strength, toughness self-healing phase change material (SHPCM) was developed by constructing a dynamic supramolecular network. This was achieved through the synergistic combination of reversible disulfide bonds and hierarchical hydrogen bonds within a polyethylene glycol (PEG)-based polyurethane framework. The resulting material exhibits a solid–solid phase transition with a high latent heat of 98.4 J·g –1, along with superior mechanical properties, including a tensile strength of 23.28 ± 1.45 MPa, an elongation at break of 1468.02 ± 105.36%, and a fracture energy of 238.27 ± 35.31 MJ·m –3 . It also demonstrates high thermal reliability and stability. Critically, the dynamic supramolecular network endows the material with outstanding self-healing performance, achieving an efficiency of 94.93%. This unique integration of thermal energy storage, robust mechanical strength, and recyclability positions this SHPCM as a promising multifunctional material for advanced thermal-management applications, with potential for modular construction and extended service life.

Authors

Institutions

Publication Details

Journal
Chemistry of Materials
Published
2026-06-13
DOI
https://doi.org/10.1021/acs.chemmater.6c00110
Primary Topic
Phase Change Materials Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enabling High-Toughness Self-Healing Phase-Change Materials via a Dynamic Supramolecular Network

Liang Jiang, Xiaowei Fu, Lijun Shi, Youlong Zhao et al.
Chemistry of Materials
Phase Change Materials Research
article

Enabling High-Toughness Self-Healing Phase-Change Materials via a Dynamic Supramolecular Network

Liang Jiang, Xiaowei Fu, Lijun Shi, Youlong Zhao, Feng Ya, Silong Chen, Yuan Lei, Siyu Chen, Pengfei Si, Jingxin Lei
article en

Abstract

Conventional solid–solid phase change materials (PCMs) based on covalent cross-linking effectively address leakage issues but suffer from a lack of high toughness and self-healing capability. To overcome these limitations, a high-strength, toughness self-healing phase change material (SHPCM) was developed by constructing a dynamic supramolecular network. This was achieved through the synergistic combination of reversible disulfide bonds and hierarchical hydrogen bonds within a polyethylene glycol (PEG)-based polyurethane framework. The resulting material exhibits a solid–solid phase transition with a high latent heat of 98.4 J·g –1, along with superior mechanical properties, including a tensile strength of 23.28 ± 1.45 MPa, an elongation at break of 1468.02 ± 105.36%, and a fracture energy of 238.27 ± 35.31 MJ·m –3 . It also demonstrates high thermal reliability and stability. Critically, the dynamic supramolecular network endows the material with outstanding self-healing performance, achieving an efficiency of 94.93%. This unique integration of thermal energy storage, robust mechanical strength, and recyclability positions this SHPCM as a promising multifunctional material for advanced thermal-management applications, with potential for modular construction and extended service life.

Chemistry of Materials
Sichuan University (CN), China Architecture Design & Research Group (China) (CN), Ingenierie des Materiaux polymeres (FR)
Affordable and clean energy
Openalex Percentile: Top 10%
Phase Change Materials Research
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.