Optimization of Effective Thermal Conductivity of Thermal Interface Materials Based on the Genetic Algorithm-Driven Random Thermal Network Model-Reference-Cited by-同舟云学术

Optimization of Effective Thermal Conductivity of Thermal Interface Materials Based on the Genetic Algorithm-Driven Random Thermal Network Model

Published:2021-09-08 Issue:37 Volume:13 Page:45050-45058
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Su Yunpeng¹²^ORCID,Ma Qiangqiang¹³,Liang Ting¹⁴,Yao Yimin¹⁴,Jiao Zhenjun²^ORCID,Han Meng¹,Pang Yunsong¹,Ren Linlin¹,Zeng Xiaoliang¹^ORCID,Xu Jianbin⁴^ORCID,Sun Rong¹^ORCID

Affiliation:

1. Shenzhen Institute of Advanced Electronic Materials, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

2. School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

3. Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing 101408, China

4. Department of Electronics Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong 999077, China

Funder

China Postdoctoral Science Foundation

Science, Technology and Innovation Commission of Shenzhen Municipality

National Natural Science Foundation of China

Guangdong Province

Publisher

American Chemical Society (ACS)

Subject

General Materials Science