A fast random walk algorithm for computing diffusion-weighted NMR signals in multiscale porous media: a feasibility study for a Menger sponge

A fast random walk (FRW) algorithm is adapted to compute diffusion-weighted NMR signals in a Menger sponge which is formed by multiple channels of broadly distributed sizes and often considered as a model for soils and porous materials. The self-similar structure of a Menger sponge allows for rapid simulations that were not feasible by other numerical techniques. The role of multiple length scales onto diffusion-weighted NMR signals is investigated.

Data and Resources

Additional Info

Field Value
Source https://inria.hal.science/hal-00764179
Author Grebenkov, Denis S., Nguyen, Hang Tuan, Li, Jing-Rebecca
Maintainer CCSD
Last Updated May 31, 2026, 14:57 (UTC)
Created May 31, 2026, 14:57 (UTC)
Identifier hal-00764179
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de physique de la matière condensée (LPMC) ; École polytechnique (X) ; Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)
creator Grebenkov, Denis S.
date 2012-12-12T00:00:00
harvest_object_id cfd9ec72-ecee-4429-9a2e-b771078eb565
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-04T00:00:00
set_spec type:UNDEFINED