IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Characteristic Polynomial in Assessment of Carbon-Nano Structures

Characteristic Polynomial in Assessment of Carbon-Nano Structures
View Sample PDF
Author(s): Sorana D. Bolboacă (Iuliu Haţieganu University of Medicine and Pharmacy, Romania)and Lorentz Jäntschi (Technical University of Cluj-Napoca, Romania & Babeş-Bolyai University, Romania & The University of Oradea, Romania)
Copyright: 2017
Pages: 26
Source title: Sustainable Nanosystems Development, Properties, and Applications
Source Author(s)/Editor(s): Mihai V. Putz (West University of Timişoara, Romania & Research and Development National Institute for Electrochemistry and Condensed Matter (INCEMC) Timişoara, Romania)and Marius Constantin Mirica (Research and Development National Institute for Electrochemistry and Condensed Matter (INCEMC) Timişoara, Romania)
DOI: 10.4018/978-1-5225-0492-4.ch004

Purchase

View Characteristic Polynomial in Assessment of Carbon-Nano Structures on the publisher's website for pricing and purchasing information.

Abstract

Six dodecahedrane assemblies as multiple of five and respectively six structures were constructed and investigated from the topological point of view. The investigation was conducted using characteristic polynomials, graph invariant encoding important properties of the graph of the chemical structure. The assemblies of 5, 6, 15 and 25 dodecahedranes proved to have the center in the same plane while the assemblies of 12 and 24 dodecahedranes degenerated from the planar central form to a chair conformation. Generally, the number of real roots of characteristic polynomials is equal to the number of atoms in the assembly. The obtained roots of the characteristic polynomial were split into intervals and the frequency apparition spectra were simulated. The obtained spectra were used to investigate the behavior of investigated assembly.

Related Content

Erfan Nouri, Alireza Kardan, Vahid Mottaghitalab. © 2024. 33 pages.
Mudassar Shahzad, Noor-ul-Huda Altaf, Muhammad Ayyaz, Sehrish Maqsood, Tayyba Shoukat, Mumtaz Ali, Muhammad Yasin Naz, Shazia Shukrullah. © 2024. 31 pages.
Erfan Nouri, Alireza Kardan, Vahid Mottaghitalab. © 2024. 32 pages.
Davronjon Abduvokhidov, Zhitong Chen, Jamoliddin Razzokov. © 2024. 16 pages.
Shahid Ali. © 2024. 25 pages.
Aamir Shahzad, Rabia Waris, Muhammad Kashif, Alina Manzoor, Maogang He. © 2024. 13 pages.
Soraya Trabelsi, Ezeddine Sediki. © 2024. 23 pages.
Body Bottom