Machine learning for thermal transport

被引：0
|
作者：
Guo, Ruiqiang [1 ]
Cao, Bing-Yang [2 ]
Luo, Tengfei [3 ]
McGaughey, Alan J. H. [4 ]
机构：
[1] Thermal Science Research Center, Shandong Institute of Advanced Technology, Shandong, Jinan,250103, China
[2] Key Laboratory for Thermal Science and Power Engineering, Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing,100084, China
[3] Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame,IN,46556, United States
[4] Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh,PA,15213, United States
来源：
Journal of Applied Physics | 1600年 / 136卷 / 16期
关键词：
We thank all authors who contributed to this Special Topic. Special thanks go to the staff at the AIP Publishing; especially Dr. Jessica Trudeau; Dr. Jaimee-Ian Rodriguez; and Dr. Brian Solis for their assistance in preparing this Special Topic. We are also grateful to all the editors and reviewers for their outstanding commitment and contributions to this Special Topic. R.G. acknowledges the support from the Excellent Young Scientists Fund (Overseas) of Shandong Province (Grant No. 2022HWYQ-091); the Taishan Scholars Program of Shandong Province (Grant No. tsqnz20221163); the Natural Science Foundation of Shandong Province (Grant No. ZR2022MA011); and the Initiative Research Fund of Shandong Institute of Advanced Technology. A.M. acknowledges the support from Army Research Office under Award No. W911NF2220191;
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摘要：
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