Using Neural Networks to Obtain the Kernel for Peridynamic Thermal Diffusion Models

2021 ◽  
Author(s):  
Longzhen Wang ◽  
Jiangming Zhao ◽  
Florin Bobaru
Keyword(s):  
Neural Networks ◽  
Thermal Diffusion ◽  
Diffusion Models

A honeycomb model for tortuosity of flow path in the leaf venation network

2014 ◽  
Vol 25 (06) ◽  
pp. 1450015 ◽  
Author(s):  
Han Liu ◽  
Ming-Qing Zou ◽  
Da-Lun Wang ◽  
Shan-Shan Yang ◽  
Ming-Chao Liang
Keyword(s):  
Heat Transfer ◽  
Neural Networks ◽  
Porous Media ◽  
Thermal Diffusion ◽  
Empirical Constant ◽  
Leaf Venation ◽  
Biotechnology Research ◽  
Potential Applications ◽  
The Neural Networks ◽  
Important Significance

A honeycomb model is designed according to the leaf veins, which is expressed as a function of porosity and tortuosity, and there is no empirical constant in this model. We mainly applied it to the leaf venation network, and the prediction in our model are compared with that from available correlations obtained by matching the numerical results, both of which are consistent with each other. Our model and relations may have important significance and potential applications in leaf venation and porous media. They also have a certain guiding significance to fluid heat transfer and thermal diffusion, as well as biotechnology research, e.g. veins and the neural networks of human.

Evaluation of Thermal Diffusion Models for Ternary Hydrocarbon Mixtures

2007 ◽  
Vol 32 (3) ◽  
Author(s):  
Shu Pan ◽  
Yu Yan ◽  
Tawfiq J Jaber ◽  
Masahiro Kawaji ◽  
Ziad Saghir
Keyword(s):  
Thermal Diffusion ◽  
Diffusion Models ◽  
Hydrocarbon Mixtures
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