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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Detalles Bibliográficos
Autores principales: Wen, Shiyi, Li, Xiaoguang, Wang, Bo, Tan, Jing, Liu, Yuling, Lv, Jian, Tan, Zhuopeng, Yin, Lei, Du, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505479/
https://www.ncbi.nlm.nih.gov/pubmed/36143580
http://dx.doi.org/10.3390/ma15186269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505479/
https://www.ncbi.nlm.nih.gov/pubmed/36143580
http://dx.doi.org/10.3390/ma15186269

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