Dynamic X-ray micotomography of microfibrous cellulose liquid foams using deep learning-Reference-Cited by-同舟云学术

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Dynamic X-ray micotomography of microfibrous cellulose liquid foams using deep learning

Published:2022-02 Issue: Volume:248 Page:117173
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Rubaiya Muin Syeda,Spicer Patrick T.,Tang Kunning,Niu Yufu,Hosseini Maryam,Mostaghimi Peyman,Armstrong Ryan T.

Funder

Australian Research Council

University of New South Wales

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference102 articles.

1. Green composites from sustainable cellulose nanofibrils: A review;Abdul Khalil;Carbohydrate Polymers,2012

2. Foam superstabilization by polymer microrods;Alargova;Langmuir,2004

3. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification;Arganda-Carreras;Bioinformatics,2017

4. Porous Media Characterization Using Minkowski Functionals: Theories, Applications and Future Directions;Armstrong;Transport in Porous Media,2019

5. On the long-term stability of foams stabilised by mixtures of nano-particles and oppositely charged short chain surfactants;Arriaga;Soft Matter,2012

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Liquid foams: New insights and perspectives from neutron and synchrotron scattering experiments;Current Opinion in Colloid & Interface Science;2024-08

2. Effect of polydispersity on the structural characteristics of two-phase foam;International Journal of Multiphase Flow;2023-07

3. Generalizable Framework of Unpaired Domain Transfer and Deep Learning for the Processing of Real-Time Synchrotron-Based X-Ray Microcomputed Tomography Images of Complex Structures;Physical Review Applied;2022-03-17

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