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A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties
In this work, a cellular automata (CA) approach was used to generate 3D structures of polyamide and carbon aerogels. Experimental results are used as initial data for materials’ digital representations and to verify the developed CA models. Based on the generated digital structures, a computer study...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709703/ https://www.ncbi.nlm.nih.gov/pubmed/33081053 http://dx.doi.org/10.3390/gels6040035 |
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author | Menshutina, Natalia Lebedev, Igor Lebedev, Evgeniy Paraskevopoulou, Patrina Chriti, Despoina Mitrofanov, Igor |
author_facet | Menshutina, Natalia Lebedev, Igor Lebedev, Evgeniy Paraskevopoulou, Patrina Chriti, Despoina Mitrofanov, Igor |
author_sort | Menshutina, Natalia |
collection | PubMed |
description | In this work, a cellular automata (CA) approach was used to generate 3D structures of polyamide and carbon aerogels. Experimental results are used as initial data for materials’ digital representations and to verify the developed CA models. Based on the generated digital structures, a computer study of aerogels’ mechanical properties was conducted. The offered CA models can be applied for the development of new nanoporous materials such as aerogels of different nature and allow for a reduction in the amount of required full-scale experiments, consequently decreasing development time and costs of new material formulations. |
format | Online Article Text |
id | pubmed-7709703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77097032020-12-03 A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties Menshutina, Natalia Lebedev, Igor Lebedev, Evgeniy Paraskevopoulou, Patrina Chriti, Despoina Mitrofanov, Igor Gels Article In this work, a cellular automata (CA) approach was used to generate 3D structures of polyamide and carbon aerogels. Experimental results are used as initial data for materials’ digital representations and to verify the developed CA models. Based on the generated digital structures, a computer study of aerogels’ mechanical properties was conducted. The offered CA models can be applied for the development of new nanoporous materials such as aerogels of different nature and allow for a reduction in the amount of required full-scale experiments, consequently decreasing development time and costs of new material formulations. MDPI 2020-10-18 /pmc/articles/PMC7709703/ /pubmed/33081053 http://dx.doi.org/10.3390/gels6040035 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Menshutina, Natalia Lebedev, Igor Lebedev, Evgeniy Paraskevopoulou, Patrina Chriti, Despoina Mitrofanov, Igor A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties |
title | A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties |
title_full | A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties |
title_fullStr | A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties |
title_full_unstemmed | A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties |
title_short | A Cellular Automata Approach for the Modeling of a Polyamide and Carbon Aerogel Structure and Its Properties |
title_sort | cellular automata approach for the modeling of a polyamide and carbon aerogel structure and its properties |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709703/ https://www.ncbi.nlm.nih.gov/pubmed/33081053 http://dx.doi.org/10.3390/gels6040035 |
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