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Abstract
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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Details
1 Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
2 Institute of Advanced Technology, University of Science and Technology of China, Hefei, People’s Republic of China
3 Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, People’s Republic of China