Advances in Simulations of Thermal Transport in Carbon Nanotubes and Graphene Reinforced Polymer Composites: From Microscopic, Mesoscopic to Macroscopic

ABSTRACT As carbon‐based materials with exceptionally high thermal conductivity, graphene and carbon nanotube (CNT) are considered ideal fillers for the development of high thermal conductivity polymer composites. Over the past decade, graphene, carbon nanotubes, and their derivatives have been shown in numerous studies to significantly enhance the thermal conductivity of various polymers. This review summarizes the research progress on high thermal conductivity graphene/polymer and CNT/polymer composites. We first examine the effects of filler surface functionalization, defects/doping, and isotopic variations on the interfacial thermal conductivity at the microscopic scale. Next, we discuss the mechanisms of filler dispersion and the formation of thermal conductivity networks at the mesoscopic scale, which contribute to the improved thermal performance of the composites. Finally, we summarize the impact of filler size, synergistic effects between different fillers, and environmental factors on the overall thermal conductivity of the composites at the macroscopic scale. Through a discussion of the thermal conductivity of graphene/polymer and CNT/polymer composites across these three scales, we highlight the importance of multi‐scale simulations and identify challenges and opportunities for future research.

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Publication Details

Journal
Polymer Composites
Published
2025-08-15
DOI
https://doi.org/10.1002/pc.70291
Citations
1
Primary Topic
Carbon Nanotubes in Composites
Type
article
Field-Weighted Citation Impact
0.52

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article

Advances in Simulations of Thermal Transport in Carbon Nanotubes and Graphene Reinforced Polymer Composites: From Microscopic, Mesoscopic to Macroscopic

Xin Huang, Yuxiang Ni, Yanqing Wang, Chaoyang Zhang et al.
1 citations
Polymer Composites
Carbon Nanotubes in Composites
0.52
article

Advances in Simulations of Thermal Transport in Carbon Nanotubes and Graphene Reinforced Polymer Composites: From Microscopic, Mesoscopic to Macroscopic

Xin Huang, Yuxiang Ni, Yanqing Wang, Chaoyang Zhang, Mengjia Zhang
article en
1 citations

Abstract

ABSTRACT As carbon‐based materials with exceptionally high thermal conductivity, graphene and carbon nanotube (CNT) are considered ideal fillers for the development of high thermal conductivity polymer composites. Over the past decade, graphene, carbon nanotubes, and their derivatives have been shown in numerous studies to significantly enhance the thermal conductivity of various polymers. This review summarizes the research progress on high thermal conductivity graphene/polymer and CNT/polymer composites. We first examine the effects of filler surface functionalization, defects/doping, and isotopic variations on the interfacial thermal conductivity at the microscopic scale. Next, we discuss the mechanisms of filler dispersion and the formation of thermal conductivity networks at the mesoscopic scale, which contribute to the improved thermal performance of the composites. Finally, we summarize the impact of filler size, synergistic effects between different fillers, and environmental factors on the overall thermal conductivity of the composites at the macroscopic scale. Through a discussion of the thermal conductivity of graphene/polymer and CNT/polymer composites across these three scales, we highlight the importance of multi‐scale simulations and identify challenges and opportunities for future research.

Polymer CompositesVol. 47(3)
China Academy of Engineering Physics (CN), Ingenierie des Materiaux polymeres (FR), Beijing Computational Science Research Center (CN), Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 34%
Carbon Nanotubes in Composites
0.52
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Advances in Simulations of Thermal Transport in Carbon Nanotubes and Graphene Reinforced Polymer Composites: From Microscopic, Mesoscopic to Macroscopic — Xin Huang, Yuxiang Ni, et al. · Polymer Composites (2025) | TGRS Research Map | TGRS