Application of machine learning in predicting the thermal conductivity of single-filler polymer composites-Reference-Cited by-同舟云学术

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Application of machine learning in predicting the thermal conductivity of single-filler polymer composites

Published:2024-06 Issue: Volume:39 Page:109116
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Liu Yinzhou,Zheng Weidong,Ai Haoqiang,Zhou Hao,Feng Liyin,Cheng Lin,Guo Ruiqiang,Song Xiaohan

Publisher

Elsevier BV

Reference90 articles.

1. Machine learning for predicting thermal transport properties of solids;Qian;Mater. Sci. Eng. R,2021

2. Nanoscale thermal transport. II. 2003–2012;Cahill;Appl. Phys. Rev.,2014

3. Interfacial thermal resistance: past, present, and future;Chen;Rev. Mod. Phys.,2022

4. Phonon-engineered extreme thermal conductivity materials;Qian;Nat. Mater.,2021

5. Characterization of nanostructured thermal interface materials – a review;McNamara;Int. J. Therm. Sci.,2012

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