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Multiscale Structural Modulation ofAnisotropic Graphene Framework for Polymer Composites Achieving Highly Efficient Thermal Energy Management

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中国科学院中国科学技术大学科学数据中心2026-01-10 收录
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https://sdc.ustc.edu.cn/dataDetails/f7UaOJYBQwfvTVc53uN-
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Graphene is usually embedded into polymer matrices for the development of thermally conductive composites, preferably forming an interconnected and anisotropic framework. Currently, the directional self-assembly ofexfoliated graphene sheets is demonstrated to be the most effective way to synthesize anisotropic graphene frameworks. However, achieving a thermal conductivity enhancement (TCE) over 1500% with per 1 vol% graphene content in polymer matrices remains challenging, due to the high junction thermal resistance between the adjacent graphene sheets within the self-assembled graphene framework. Here, a multiscale structural modulation strategy for obtaining highly ordered structure ofgraphene framework and simultaneously reducing the junction thermal resistance is demonstrated. The resultant anisotropic framework contributes to the polymer composites with a record-high thermal conductivity of56.8–62.4 Wm−1 K−1 at the graphene loading of≈13.3 vol%, giving an ultrahigh TCE per 1 vol% graphene over 2400%. Furthermore, thermal energy management applications ofthe composites as phase change materials for solar-thermal energy conversion and as thermal interface materials for electronic device cooling are demonstrated. The finding provides valuable guidance for designing high-performance thermally conductive composites and raises their possibility for practical use in thermal energy storage and thermal management ofelectronics.
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中国科学院宁波材料技术与工程研究所
创建时间:
2023-05-23
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