材料科学
灵活性(工程)
数码产品
导电聚合物
聚合物
导电体
光伏
热导率
纳米技术
透视图(图形)
热的
柔性电子器件
工程物理
复合材料
计算机科学
光伏系统
电气工程
工程类
统计
物理
数学
人工智能
气象学
作者
Jinghang Dai,Zhen Zhang,Jianbin Luo,Hao Ma
标识
DOI:10.1080/21663831.2024.2323026
摘要
Polymers, with various advantages including lightweight, low cost, flexibility and ease of processing, are popular choices for thermal management in flexible electronics, photovoltaics, fuel cells, etc. In this perspective, we review the recent progress of developing uniaxial thermally conductive polymers and three-dimensional polymers with high thermal conductivity, discuss new opportunities in applying machine learning methods to search for thermally conductive polymers, and finally point out current key challenges and future directions in simulations and experimental measurements. The useful insights in this perspective can guide the rational design of thermally conductive polymers for advanced thermal management.
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