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Anisotropic permeability tensor prediction from porous media microstructure: A physics-informed MaxViT CNN-Transformer framework.
Accurate permeability tensor prediction from pore-scale microstructure is essential for subsurface flow modeling, yet direct numerical simulation requires hours per sample, fundamentally constraining large-scale uncertainty quantification. The proposed physics-informed deep learning framework resolv
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