2 papers
cond-mat.soft2026
Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media
Ebru Dagdelen, Catherin Neena Lalu, Aakash Karlekar +5
Flow in porous media is difficult to address using standard analytical or numerical methods due to its complexity. However, since synthetic representations of porous media are easy…
physics.flu-dyn2025
Flow morphology and patterns in porous media convection: A persistent homology analysis
Marco De Paoli, Sergio Pirozzoli, Catherin Neena Lalu +1
Convective mixing in porous media is crucial in both geophysical and industrial fields, spanning applications ranging from carbon dioxide sequestration to geothermal energy extract…