Thermal resistance modeling of oscillating heat pipes filled with acetone by using artificial neural network

Author(s):  
Junqin Wen
Nanoscale ◽  
2018 ◽  
Vol 10 (40) ◽  
pp. 19092-19099 ◽  
Author(s):  
Hong Yang ◽  
Zhongtao Zhang ◽  
Jingchao Zhang ◽  
Xiao Cheng Zeng

Several machine learning algorithms and artificial neural network structures are used to predict the interfacial thermal resistance between single layer graphene and hexagonal boron nitride with only the knowledge of the system temperature, inter-layer coupling strength, and in-plane tensile strain.


2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  

1998 ◽  
Vol 49 (7) ◽  
pp. 717-722 ◽  
Author(s):  
M C M de Carvalho ◽  
M S Dougherty ◽  
A S Fowkes ◽  
M R Wardman

Sign in / Sign up

Export Citation Format

Share Document