...R. Ellahi; Syed Shahzad Ali; A. Zeeshan Purpose This study aims to introduce a local nonsimilarity feature–embedded physics-informed neural network ( PINN ) framework to model the thermal boundary layer flow of a non-Newtonian Casson fluid under the combined effects of viscous dissipation...

...Guang-Zhi Zeng; Zheng-Wei Chen; Yi-Qing Ni; En-Ze Rui Purpose Physics-informed neural networks (PINNs) have become a new tendency in flow simulation, because of their self-advantage of integrating both physical and monitored information of fields in solving the Navier–Stokes equation and its...