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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 33, Number 8(1) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2629-2638
S&M2644 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3390 Published: August 10, 2021 Multiplicative Degree-Kirchhoff Index of Random Polyphenyl Chains [PDF] Meilian Li, Jinshan Xie, Dezhong Lian, and Cheng-Fu Yang (Received March 23, 2021; Accepted May 31, 2021) Keywords: multiplicative degree-Kirchhoff index, random polyphenyl chain, molecular graph
The multiplicative degree-Kirchhoff index of a connected graph is defined as the sum of the product of the resistance distances between all pairs of points and the degrees of corresponding point pairs in the graph. In this paper, we propose an exact formula to compute the expected value of the multiplicative degree-Kirchhoff index of a random polyphenyl chain. Furthermore its asymptotic property is also considered.
Corresponding author: Cheng-Fu Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Meilian Li, Jinshan Xie, Dezhong Lian, and Cheng-Fu Yang, Multiplicative Degree-Kirchhoff Index of Random Polyphenyl Chains, Sens. Mater., Vol. 33, No. 8, 2021, p. 2629-2638. |
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