Functional regression-based fluid permeability prediction in monodisperse sphere packings from isotropic two-point correlation functions-Reference-Cited by-同舟云学术

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Functional regression-based fluid permeability prediction in monodisperse sphere packings from isotropic two-point correlation functions

Published:2017-06 Issue: Volume:134 Page:126-131
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Röding Magnus,Svensson Peter,Lorén Niklas

Funder

Swedish Foundation for Strategic Research project

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference42 articles.

1. Random Heterogeneous Materials: Microstructure and Macroscopic Properties;Torquato,2013

2. Dynamics of Chromatography: Principles and Theory;Giddings,2002

3. Diffusion in Nanoporous Materials;Kärger,2012

4. Adsorption By Powders and Porous Solids: Principles, Methodology and Applications;Rouquerol,2013

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1. Predicting permeability via statistical learning on higher-order microstructural information;Scientific Reports;2020-09-17

2. Simulated annealing and finite volume method to study the microstructure isotropy effect on the effective transport coefficient of a 2D unidirectional composite;Materials Today Communications;2020-09

3. Particle simulation of dual-scale flow in resin transfer molding for process analysis;Composites Part A: Applied Science and Manufacturing;2019-06

4. Permeability of porous ceramics by X-ray CT image analysis;Acta Materialia;2019-06

5. Precise algorithms to compute surface correlation functions of two-phase heterogeneous media and their applications;PHYS REV E;2018

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