Predicting Interfacial Thermal Resistance by Ensemble Learning

Predicting Interfacial Thermal Resistance by Ensemble Learning

Interfacial thermal resistance (ITR) plays a critical role in the thermal properties of a variety of material systems. Accurate and reliable ITR prediction is vital in the structure design and thermal management of nanodevices, aircraft, buildings, etc. However, because ITR is affected by dozens of...

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Bibliographic Details
Main Authors:	Mingguang Chen, Junzhu Li, Bo Tian, Yas Mohammed Al-Hadeethi, Bassim Arkook, Xiaojuan Tian, Xixiang Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Series:	Computation
Subjects:	interfacial thermal resistance XGBoost Kernel Ridge Regression deep neural networks ensemble learning
Online Access:	https://www.mdpi.com/2079-3197/9/8/87

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