Pages that link to "Item:Q6044030"
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The following pages link to Predicting entropy generation of a hybrid nanofluid in microchannel heat sink with porous fins integrated with high concentration photovoltaic module using artificial neural networks (Q6044030):
Displaying 4 items.
- Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide \((\mathrm{Al_2 O_3})\) and silver (Ag) nanoparticles with water \((\mathrm{H_2O})\) as base liquid (Q6489191) (← links)
- Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: ciliary motion experiencing entropy generation using backpropagated networks (Q6576998) (← links)
- Numerical simulation of wave interaction with porous structure using the coupled volume-of-fluid (VOF) and Darcy-Brinkman-Forchheimer model (Q6583935) (← links)
- Improved physics-informed neural networks for the reinterpreted discrete fracture model (Q6648401) (← links)
