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Materials informatics approach using domain modelling for exploring structure–property relationships of polymers

In the development of polymer materials, it is an important issue to explore the complex relationships between domain structure and physical properties. In the domain structure analysis of polymer materials, (1)H-static solid-state NMR (ssNMR) spectra can provide information on mobile, rigid, and in...

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Autores principales: Hara, Koki, Yamada, Shunji, Kurotani, Atsushi, Chikayama, Eisuke, Kikuchi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217937/
https://www.ncbi.nlm.nih.gov/pubmed/35732681
http://dx.doi.org/10.1038/s41598-022-14394-5
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author Hara, Koki
Yamada, Shunji
Kurotani, Atsushi
Chikayama, Eisuke
Kikuchi, Jun
author_facet Hara, Koki
Yamada, Shunji
Kurotani, Atsushi
Chikayama, Eisuke
Kikuchi, Jun
author_sort Hara, Koki
collection PubMed
description In the development of polymer materials, it is an important issue to explore the complex relationships between domain structure and physical properties. In the domain structure analysis of polymer materials, (1)H-static solid-state NMR (ssNMR) spectra can provide information on mobile, rigid, and intermediate domains. But estimation of domain structure from its analysis is difficult due to the wide overlap of spectra from multiple domains. Therefore, we have developed a materials informatics approach that combines the domain modeling (http://dmar.riken.jp/matrigica/) and the integrated analysis of meta-information (the elements, functional groups, additives, and physical properties) in polymer materials. Firstly, the (1)H-static ssNMR data of 120 polymer materials were subjected to a short-time Fourier transform to obtain frequency, intensity, and T(2) relaxation time for domains with different mobility. The average T(2) relaxation time of each domain is 0.96 ms for Mobile, 0.55 ms for Intermediate (Mobile), 0.32 ms for Intermediate (Rigid), and 0.11 ms for Rigid. Secondly, the estimated domain proportions were integrated with meta-information such as elements, functional group and thermophysical properties and was analyzed using a self-organization map and market basket analysis. This proposed method can contribute to explore structure–property relationships of polymer materials with multiple domains.
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spelling pubmed-92179372022-06-24 Materials informatics approach using domain modelling for exploring structure–property relationships of polymers Hara, Koki Yamada, Shunji Kurotani, Atsushi Chikayama, Eisuke Kikuchi, Jun Sci Rep Article In the development of polymer materials, it is an important issue to explore the complex relationships between domain structure and physical properties. In the domain structure analysis of polymer materials, (1)H-static solid-state NMR (ssNMR) spectra can provide information on mobile, rigid, and intermediate domains. But estimation of domain structure from its analysis is difficult due to the wide overlap of spectra from multiple domains. Therefore, we have developed a materials informatics approach that combines the domain modeling (http://dmar.riken.jp/matrigica/) and the integrated analysis of meta-information (the elements, functional groups, additives, and physical properties) in polymer materials. Firstly, the (1)H-static ssNMR data of 120 polymer materials were subjected to a short-time Fourier transform to obtain frequency, intensity, and T(2) relaxation time for domains with different mobility. The average T(2) relaxation time of each domain is 0.96 ms for Mobile, 0.55 ms for Intermediate (Mobile), 0.32 ms for Intermediate (Rigid), and 0.11 ms for Rigid. Secondly, the estimated domain proportions were integrated with meta-information such as elements, functional group and thermophysical properties and was analyzed using a self-organization map and market basket analysis. This proposed method can contribute to explore structure–property relationships of polymer materials with multiple domains. Nature Publishing Group UK 2022-06-22 /pmc/articles/PMC9217937/ /pubmed/35732681 http://dx.doi.org/10.1038/s41598-022-14394-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hara, Koki
Yamada, Shunji
Kurotani, Atsushi
Chikayama, Eisuke
Kikuchi, Jun
Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
title Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
title_full Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
title_fullStr Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
title_full_unstemmed Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
title_short Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
title_sort materials informatics approach using domain modelling for exploring structure–property relationships of polymers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217937/
https://www.ncbi.nlm.nih.gov/pubmed/35732681
http://dx.doi.org/10.1038/s41598-022-14394-5
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