A physics-informed neural network approach for natural convection boundary-layer flow in nanofluid-saturated non-darcy porous medium
This study presents a robust deep learning framework based on Physics-Informed Neural Networks (PINNs) for modeling natural convection boundary-layer flow over a vertical plate embedded in a non-Darcy porous medium saturated with nanofluid. The mathematical formulation is based on the extended Cheng–Minkowycz problem,...