Machine Learning-Based Interpretable Formalization of Permeability Using Particle Morphology Descriptors
Crossref DOI link: https://doi.org/10.1007/s11242-025-02280-3
Published Online: 2026-01-07
Published Print: 2026-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Fathipour-Azar, Hadi https://orcid.org/0000-0002-1519-6304
Text and Data Mining valid from 2026-01-07
Version of Record valid from 2026-01-07
Article History
Received: 15 November 2024
Accepted: 15 December 2025
First Online: 7 January 2026
Declarations
:
: The author declares that there is no conflict of interest.