纳米互连1D/2D氮化硼杂化网络：基于杂化热渗透模型解锁电绝缘热界面纳米复合材料的优越导热性（Small Methods 9/2025）

IF 9.1 2区材料科学 Q1 CHEMISTRY, PHYSICAL

Small Methods Pub Date : 2025-09-26 DOI:10.1002/smtd.70044

Seung Yeon Jang, Ji-un Jang, Gyun Young Yoo, Ki Hoon Kim, Seong Hun Kim, Jaewoo Kim, Seong Yun Kim

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引用次数: 0

摘要

热界面材料，J. Kim， S. Y. Kim等人系统地研究了基于一维和二维氮化硼杂化填料的复合材料导热性的协同增强。复合材料的最大导热系数为10.93 W m−1 K。此外，提出了一种新的混合热渗流模型，以确定提高热管理性能的最佳协同效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Nano-Interconnected 1D/2D Boron Nitride Hybrid Networks: Unlocking Superior Thermal Conductivity in Electrically Insulating Thermal Interface Nanocomposites Based on Hybrid Thermal Percolation Model (Small Methods 9/2025)

查看原文本刊更多论文

Thermal Interface Materials

In article number 2500453, J. Kim, S. Y. Kim, and co-workers systematically investigated the synergistic enhancement of thermal conductivity in composites based on 1D and 2D boron nitride hybrid fillers. The fabricated composites achieved a maximum thermal conductivity of 10.93 W m⁻¹ K. Additionally, a novel hybrid thermal percolation model was proposed to identify the optimal synergistic effect for enhanced thermal management performance.

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来源期刊

Small Methods Materials Science-General Materials Science

CiteScore

17.40

自引率

1.60%

发文量

347

期刊介绍： Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.