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Open access Oct 2026

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,...

H. Agha, Soufiane Rahal, Faouzi Didi et al. · 0 citations

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