Solutions of the Newtonian Plane Couette Flow with Dynamic Wall Slip Using Machine Learning Methods
This study presents a comparative investigation of Physics-Informed Neural Networks (PINNs) and data-driven Deep Operator Networks (DeepONets) for predicting the evolution of plane Newtonian Couette flow with dynamic wall slip. First, a PINN framework is employed to solve flow for selected physical parameters. Subseque...