z-logo
open-access-imgOpen Access
Machine learning framework for analysis of transport through complex networks in porous, granular media: A focus on permeability
Author(s) -
Joost H. van der Linden,
Guillermo A. Narsilio,
Antoinette Tordesillas
Publication year - 2016
Publication title -
physical review. e
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.896
H-Index - 304
eISSN - 2470-0053
pISSN - 2470-0045
DOI - 10.1103/physreve.94.022904
Subject(s) - permeability (electromagnetism) , centrality , mesoscopic physics , porous medium , materials science , porosity , computer science , mechanics , mathematics , physics , chemistry , composite material , biochemistry , combinatorics , quantum mechanics , membrane

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom