Dimensions of Network Polymers

Material type: 文書・図像類

Author: 飛田　, 英孝ほか

Publisher: John Wiley & Sons, Inc

Publication date: 2022-09-16

Material Format: Digital

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Note (General)：: The mean-square radius of gyration Rg2 and the graph diameter D of the network polymers formed through the random crosslinking of predetermined primar...

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Material Type: 文書・図像類
Title: Dimensions of Network Polymers
Author/Editor: 飛田　, 英孝
Tobita, Hidetaka
Author Heading: 飛田　, 英孝
Tobita, Hidetaka
Publication, Distribution, etc.: John Wiley & Sons, Inc
Publication Date: 2022-09-16
Publication Date (W3CDTF): 2022-09-16
Alternative Title: Dimensions of Network Polymers
Periodical title: MACROMOLECULAR THEORY AND SIMULATIONS
No. or year of volume/issue: 31 5
Volume: 31
Issue: 5
Pages: 2200022-
ISSN (Periodical Title): ISSN : 1521-3919
Text Language Code: eng
Subject Heading: crosslinked polymer
diameter
graph theory
network polymer
radius of gyration
Target Audience: 一般
Note (General): The mean-square radius of gyration Rg2 and the graph diameter D of the network polymers formed through the random crosslinking of predetermined primary chains with a fixed number of intermolecular and intramolecular crosslinks are investigated by the numerical calculation based on the graph theory. In the case of ring-free polymers, D is the longest end-to-end path length, sometimes referred to as the maximum span length. The expected Rg2-value for a given D is found to follow a linear relationship, Rg2 = a D + b, similarly as in the cases of the ring-free polymers. The proportional coefficient, a decreases approximately linearly with the number of intramolecular crosslinks kc, or the cycle rank in the graph theory, essentially independent of the total number k of crosslinks and the primary chain length distribution. The contraction factor g of the average Rg2 of the whole network polymer system is also governed by kc, and decreases with kc. One may be able to design and control the Rg2-values of crosslinked polymers through the magnitude of D, which is usually easier to imagine than the complex 3D architecture.
source:https://onlinelibrary.wiley.com/doi/10.1002/mats.202200022
Access Restrictions: 限定公開
Related Material (DOI): 10.1002/mats.202200022
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ