Heat transport exploration through the GaN/diamond interfaces using machine learning potential

Journal article 161 views

Zhanpeng Sun, Yunfei Song, Zijun Qi, Xiang Sun, Meiyong Liao, Rui Li, Qijun Wang

, Lijie Li

, Gai Wu

, Wei Shen, Sheng Liu

International Journal of Heat and Mass Transfer, Volume: 241, Start page: 126724

Swansea University Author: Lijie Li

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.1016/j.ijheatmasstransfer.2025.126724

Published in:	International Journal of Heat and Mass Transfer
ISSN:	0017-9310
Published:	Elsevier BV 2025
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa70617

Keywords:	GaN/diamond heterostructures; Machine learning potential; Molecular dynamics; Thermal boundary resistance
College:	Faculty of Science and Engineering
Funders:	This work was funded by the Knowledge Innovation Program of Wuhan-Shuguang (Grant Nos. 2023010201020243, 2023010201020255), the National Natural Science Foundation of China (Grant Nos. 52202045, 62004141, 92473102), the Shenzhen Science and Technology Program (Grant No. JCYJ20240813175906008), the Fundamental Research Funds for the Central Universities (Grant Nos. 2042023kf0112, 2042022kf1028), the Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration (Wuhan University) (Grant Nos. EMPI2024014, EMPI2024021, EMPI2023027), and the China Scholarship Council (Grant No. 202206275005).
Start Page:	126724