Deep Neural Network-Evaluated Thermal Conductivity for Two-Phase WC-M (M = Ag, Co) Cemented Carbides

Deep Neural Network-Evaluated Thermal Conductivity for Two-Phase WC-M (M = Ag, Co) Cemented Carbides

DNN (Deep Neural Network) is one kind of method for artificial intelligence, which has been applied in various fields including the exploration of material properties. In the present work, DNN, in combination with the 10-fold cross-validation, is applied to evaluate and predict the thermal conductiv...

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Bibliographic Details
Main Authors: Shiyi Wen, Xiaoguang Li, Bo Wang, Jing Tan, Yuling Liu, Jian Lv, Zhuopeng Tan, Lei Yin, Yong Du
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Materials
Subjects:
composite materials
cemented carbides
WC-Ag
WC-Co
thermal conductivity
Deep Neural Network
Online Access:https://www.mdpi.com/1996-1944/15/18/6269

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https://www.mdpi.com/1996-1944/15/18/6269

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