most citedClassification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers

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physics.flu-dyn2025

Predicting air flow in calendered paper sheets from -CT data: combining physics with morphology

Phillip Gräfensteiner, Andoni Rodriguez, Peter Leitl +10

Predicting the macroscopic properties of thin fiber-based porous materials from their microscopic morphology remains challenging because of the structural heterogeneity of these ma…