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...