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A. M. Amer

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Open access Sep 2026

Physics-Informed Deep Learning Modeling of MHD Casson–Maxwell Nanofluid Flow with Variable Viscosity, Thermal Slip, and Viscous Dissipation Within a Porous Medium

This work focuses on studying the magnetohydrodynamic flow and heat transfer mechanism of a Casson–Maxwell nanofluid due to a stretching surface through a porous medium, using a physics-informed neural network (PINNs) approach as the main tool for the solution of the physical problem. The mathematical model describes t...

A. M. Amer, Seyed Behbood Issa-zadeh, Hamid Reza Soltani Motlagh et al. · 0 citations

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