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“Predicting Permeability via Statistical Learning on Higher‐Order Microstructural Information” is published in Scientific Reports

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Read the full paper: here Link to the journal: here Quantitative structure–property relationships are crucial for the understanding and prediction of the physical properties of complex materials. For fluid flow in porous materials, characterizing the geometry of the pore microstructure facilitates prediction of permeability, a key property that has been extensively studied in material science, … Continue Reading “Predicting Permeability via Statistical Learning on Higher‐Order Microstructural Information” is published in Scientific Reports