Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning-Reference-Cited by-同舟云学术

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Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning

Published:2021-03 Issue: Volume:622 Page:119050
ISSN:0376-7388
Container-title:Journal of Membrane Science
language:en
Short-container-title:Journal of Membrane Science

Author:

Kamrava Serveh,Tahmasebi Pejman,Sahimi Muhammad

Funder

American Chemical Society Petroleum Research Fund

Publisher

Elsevier BV

Subject

Filtration and Separation,Physical and Theoretical Chemistry,General Materials Science,Biochemistry

Reference49 articles.

1. Transport properties of porous PVDF membranes;Quartarone;J. Phys. Chem. B,2002

2. Transport properties of porous membranes based on electrospun nanofibers;Gibson;Colloids Surf., A,2001

3. Preparation of open-cell polymer foams by CO2 assisted foaming of polymer blends;Kong;Polymer,2016

4. Porous silicon carbide sintered substrates for high-temperature membranes;Suwanmethanond;Ind. Eng. Chem. Res.,2000

5. Structural characterization of polyetherimide-based carbon molecular sieve membranes;Sedigh;AIChE J.,2000

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