Physics-Informed Neural Networks for Heat Transfer and Fluid Flow in a Channel with Isothermal Staggered Wall-Mounted Squares
Physics-informed neural networks (PINNs) have been increasingly used for thermal-fluid problems. This study evaluates the performance of the PINN approach for reconstructing a laminar forced flow field inside a rectangular channel with four staggered wall-mounted squares. Air is used as the working fluid, at a Reynolds...