Challenges in computational materials modelling and simulation: A case-study to predict tissue paper properties-Reference-Cited by-同舟云学术

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Challenges in computational materials modelling and simulation: A case-study to predict tissue paper properties

Published:2022-05 Issue:5 Volume:8 Page:e09356
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Morais Flávia P.,Curto Joana M.R.^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference60 articles.

1. Stochastic 3D modeling of fiber-based materials;Gaiselmann;Comput. Mater. Sci.,2012

2. Perspectives on deriving mathematical models in pulp and paper science;Kerekes;BioRes,2020

3. Integrated computational materials engineering for advanced materials: a brief review;Wange;Comput. Mater. Sci.,2019

4. The Materials Simulation Toolkit for Machine learning (MAST-ML): an automated open source toolkit to accelerate data-driven materials research;Jacobs;Comput. Mater. Sci.,2020

5. Predicting the mechanical properties of unidirectional fiber reinforced plastics from fiber and resin properties using data mining;Yao;Comput. Mater. Sci.,2020

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1. Evaluation of oxygen delignified fibers with high water absorbency, as a greener alternative to fully bleached fibers for tissue paper;Nordic Pulp & Paper Research Journal;2024-08-27

2. Design of mechanically intelligent structures: Review of modelling stimuli-responsive materials for adaptive structures;Heliyon;2024-07

3. MODIFIED STARCHES AS A MEAN OF INCREASING THE DRY STRENGTH OF TISSUE PAPERS;Wood Research;2024-03-08

4. Ultra Fast Imaging NMR method for measuring fast transport processes in thin porous media;Magnetic Resonance Imaging;2023-11

5. 3D simulation of nano/micro cellulose delivery systems for dermic and respiratory applications: Case study of eucalyptus essential oil incorporation;Materialwissenschaft und Werkstofftechnik;2023-04

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