Comparison of the simulations of microbial mineralization for dataset 2 (sand high porosity) using the ball based MOSAIC program and the novel approach introduced here, based on the partitioning of the pore voxels on the basis of the curve skeleton.

<p>The simulations extended over 5 days and were carried out in the “curve skeleton” method with a diffusive conductance coefficient equal to 0.35 for the curve skeleton method and 0.6 for the balls method. The initial masses (micro-organisms, dissolved organic matter) and also the diffusion c...

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Bibliographic Details
Main Author:	Zakaria Belghali (22581967) (author)
Other Authors:	Olivier Monga (5686331) (author), Mouad Klai (20818364) (author), El Hassan Abdelwahed (14643044) (author), Lucie Druoton (22581970) (author), Valérie Pot (5484383) (author), Philippe C. Baveye (795978) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified ray computed tomography lbm ), tend lattice boltzmann method extremely complex micro connected subsets like compact geometrical representations stimulated research efforts approaches work well characterize 3d shapes attributed relational graph recent research priori shapes present work 3d x wise approximations various fields soil microorganisms simulate numerically simulate drainage scale processes present article organic matter numerical simulation new representation microbial mineralization material sciences give rise geometric modelling etc .). drastically decrease describe shape define piece dealt exclusively curve skeleton connectivity ). computational microbiology computational cost classical methods attributes related another alternative adjacency relationship
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Comparison of the simulations of microbial mineralization for dataset 2 (sand high porosity) using the ball based MOSAIC program and the novel approach introduced here, based on the partitioning of the pore voxels on the basis of the curve skeleton.

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