A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Engineering Analysis with Boundary Elements Année : 2023

A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask

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hal-04508544 , version 1 (18-03-2024)

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Mehrdad Mesgarpour, Rabeeah Habib, Mostafa Safdari Shadloo, Nader Karimi. A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask. Engineering Analysis with Boundary Elements, 2023, 149, pp.52-70. ⟨10.1016/j.enganabound.2023.01.010⟩. ⟨hal-04508544⟩
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