Record‐High Latent Heat, Ultra‐Fast Relaxation and Closed‐Loop Recycling Double‐Brush Polymer Networks for Self‐Adaptive Thermal Interface Management

In the era of artificial intelligence (AI)-driven high-performance computing, phase change materials (PCMs) are critical for high-flux thermal management. PCMs are evolving toward high enthalpy, low interfacial thermal resistance (ITR), and high reliability. Herein, we design double-brush phase-change polymer (PVBS-TMC<sub>n</sub>) crosslinked by B─O─B and Si─O─B dynamic bonds, characterized by the ultra-fast relaxation time of 0.8 s under 80°C and closed-loop cycling. This architecture enhances the content of phase-change units for elevated theoretical enthalpy, while inherent multiple dynamic bonds and ultra-low entanglement minimize enthalpy loss, resulting in a record enthalpy of 240.7 J·g<sup>-1</sup>. Furthermore, a composite of flexibility PVBS-TMC<sub>14/24</sub> and graphene foam films (PVBS-TMC/GF) is fabricated as thermal interface materials using a stacking-cutting strategy, which self-adaptively modulates low-ITR in response to temperature, owing to phase transition properties, ultra-low modulus, and adaptive filling capability of dynamic polymer matrix. PVBS-TMC/GF significantly generates better thermal management efficiency compared to commercial products. The topology design of double-brush polymer dynamic networks and interfacial contact mechanisms provide fundamental insights for developing phase-change adaptive materials and advancing thermal management.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-12-23
DOI
https://doi.org/10.1002/advs.202521482
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Record‐High Latent Heat, Ultra‐Fast Relaxation and Closed‐Loop Recycling Double‐Brush Polymer Networks for Self‐Adaptive Thermal Interface Management

junying zhang, Jiahao Ma, Zhenghao Wu, Y. Li et al.
Advanced Science
Thermal properties of materials
article

Record‐High Latent Heat, Ultra‐Fast Relaxation and Closed‐Loop Recycling Double‐Brush Polymer Networks for Self‐Adaptive Thermal Interface Management

junying zhang, Jiahao Ma, Zhenghao Wu, Y. Li, Jue Cheng, Qiguang Liu, Junjie Cheng, Chang Jing
article en

Abstract

In the era of artificial intelligence (AI)-driven high-performance computing, phase change materials (PCMs) are critical for high-flux thermal management. PCMs are evolving toward high enthalpy, low interfacial thermal resistance (ITR), and high reliability. Herein, we design double-brush phase-change polymer (PVBS-TMC<sub>n</sub>) crosslinked by B─O─B and Si─O─B dynamic bonds, characterized by the ultra-fast relaxation time of 0.8 s under 80°C and closed-loop cycling. This architecture enhances the content of phase-change units for elevated theoretical enthalpy, while inherent multiple dynamic bonds and ultra-low entanglement minimize enthalpy loss, resulting in a record enthalpy of 240.7 J·g<sup>-1</sup>. Furthermore, a composite of flexibility PVBS-TMC<sub>14/24</sub> and graphene foam films (PVBS-TMC/GF) is fabricated as thermal interface materials using a stacking-cutting strategy, which self-adaptively modulates low-ITR in response to temperature, owing to phase transition properties, ultra-low modulus, and adaptive filling capability of dynamic polymer matrix. PVBS-TMC/GF significantly generates better thermal management efficiency compared to commercial products. The topology design of double-brush polymer dynamic networks and interfacial contact mechanisms provide fundamental insights for developing phase-change adaptive materials and advancing thermal management.

Advanced ScienceVol. 13(14)
Beijing University of Chemical Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Thermal properties of materials
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.