Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites-Reference-Cited by-同舟云学术

Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites

Published:2022-06 Issue: Volume:224 Page:109425
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Liu Bokai,Vu-Bac Nam,Zhuang Xiaoying,Fu Xiaolong,Rabczuk Timon

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference57 articles.

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4. Thermal conductivity and tensile response of defective graphene: a molecular dynamics study;Mortazavi;Carbon,2013

5. Ultra high stiffness and thermal conductivity of graphene like c3n;Mortazavi;Carbon,2017

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