Flexible, Recyclable, and Highly Conductive Self‐Healing Polymer‐Based Phase Change Films for Thermal Management

Abstract Phase change materials (PCMs) hold significant promise for thermal energy storage and management. However, challenges such as low thermal conductivity, liquid leakage, solid rigidity, and poor recyclability hinder their practical applications. Herein, a facile yet effective strategy for fabricating highly conductive, flexible, and recyclable polymer‐based phase change composites (PCCs) is proposed. The physically crosslinked dual polymer networks endow the PCC film with excellent latent heat (158.6 J g −1 ), tunable mechanical stress (3.95–8.59 MPa), thermal‐regenerating capability, and recyclability utilization. By utilizing the shear‐induced alignment of graphite nanoplatelets (GNPs), the proposed PCC films demonstrate a remarkable thermal conductivity of 6.24 W m −1 K −1 at a GNP loading of 10 wt.%, achieving a thermal conductivity enhancement efficiency of 302%. Moreover, the flexible PCCs‐based energy device demonstrates effective thermal regulation in electronic devices and wearable thermal management. This work provides a cost‐effective avenue for the scalable fabrication of thermally conductive, flexible, and recyclable PCCs toward various thermal management applications.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-05-07
DOI
https://doi.org/10.1002/adfm.202506229
Citations
19
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
9.84

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible, Recyclable, and Highly Conductive Self‐Healing Polymer‐Based Phase Change Films for Thermal Management

Xianglei Liu, Minqiang Wu, Yaoge Jing, Yimin Xuan et al.
19 citations
Advanced Functional Materials
Thermal properties of materials
9.84
article

Flexible, Recyclable, and Highly Conductive Self‐Healing Polymer‐Based Phase Change Films for Thermal Management

Xianglei Liu, Minqiang Wu, Yaoge Jing, Yimin Xuan, Tingxian Li
article en
19 citations

Abstract

Abstract Phase change materials (PCMs) hold significant promise for thermal energy storage and management. However, challenges such as low thermal conductivity, liquid leakage, solid rigidity, and poor recyclability hinder their practical applications. Herein, a facile yet effective strategy for fabricating highly conductive, flexible, and recyclable polymer‐based phase change composites (PCCs) is proposed. The physically crosslinked dual polymer networks endow the PCC film with excellent latent heat (158.6 J g −1 ), tunable mechanical stress (3.95–8.59 MPa), thermal‐regenerating capability, and recyclability utilization. By utilizing the shear‐induced alignment of graphite nanoplatelets (GNPs), the proposed PCC films demonstrate a remarkable thermal conductivity of 6.24 W m −1 K −1 at a GNP loading of 10 wt.%, achieving a thermal conductivity enhancement efficiency of 302%. Moreover, the flexible PCCs‐based energy device demonstrates effective thermal regulation in electronic devices and wearable thermal management. This work provides a cost‐effective avenue for the scalable fabrication of thermally conductive, flexible, and recyclable PCCs toward various thermal management applications.

Advanced Functional MaterialsVol. 35(42)
Shanghai Jiao Tong University (CN), Ministry of Industry and Information Technology (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 1%
Thermal properties of materials
9.84
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.