PINN solution of magnetized radiative slip flow of hybrid nanofluid

PINNs are the class of deep learning algorithm designed to solve differential equations. PINNs offer a data driven approach that is considered governing law of physics straight into the understanding process. The PINNs technique is used to solve magnetohydrodynamics slip flow problem pertaining to non-linear radiative sheet in the presence of Newtonian heating wall condition