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Exploring Metric Dimensions in Chemical Structures : Insights and Applications

dc.authorscopusid 57213855187
dc.authorscopusid 57194737689
dc.authorscopusid 58018991300
dc.authorscopusid 59155549600
dc.authorscopusid 57190155028
dc.authorscopusid 6507002237
dc.authorscopusid 59409397400
dc.contributor.author Chaudhry, Faryal
dc.contributor.author Maktoof, Mohammed Abdul Jaleel
dc.contributor.author Mousa, Sura Hamed
dc.contributor.author Farooq, Umar
dc.contributor.author Farahani, Mohammad Reza
dc.contributor.author Alaeiyan, Mehdi
dc.contributor.author Cancan, Murat
dc.date.accessioned 2025-06-01T20:03:25Z
dc.date.available 2025-06-01T20:03:25Z
dc.date.issued 2025
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Chaudhry, Faryal; Farooq, Umar] Univ Lahore, Dept Math & Stat, Lahore 54000, Pakistan; [Maktoof, Mohammed Abdul Jaleel] Al Turath Univ, Dept Comp Technol Engn, Baghdad 10013, Iraq; [Mousa, Sura Hamed] Mustansiriyah Univ, Al Turath Univ, Coll Sci, Dept Comp Sci, Baghdad 10013, Iraq; [Farahani, Mohammad Reza; Alaeiyan, Mehdi] Iran Univ Sci & Technol IUST, Dept Math & Comp Sci, Tehran 16844, Iran; [Choudhary, Rahul Raj] Chitkara Univ, Inst Engn & Technol, Ctr Res Impact & Outcome, Rajpura 140401, Punjab, India; [Zaidi, Muhaned] Al Manara Coll Med Sci, Dept Pharm, Maysan 62006, Iraq; [Mtasher, Ahmed Ali] Al Nisour Univ Coll, Dept Med Labs Technol, Baghdad, Iraq; [Cancan, Murat] Yuzuncu Yil Univ, Fac Educ, Dept Math, TR-65090 Van, Turkiye en_US
dc.description.abstract In this article, we dive into the metric dimension of various lattice networks, focusing on Bakelite, Backbone DNA, and Polythiophene networks. The metric dimension is a crucial graph invariant that helps us understand how uniquely we can identify the vertices in a network. Our detailed analysis and calculations reveal that the metric dimension for Bakelite, Polythiophene, and Backbone DNA networks is consistently two. This means that, within these lattice structures, a simple pair of vertices is enough to pinpoint the location of all other vertices. These insights shed light on the structural properties of these molecular networks and could have practical implications for areas like biological systems and organic electronics. Plus, this study sets the stage for future research in graph theory and the understanding of molecular structures. en_US
dc.description.woscitationindex Emerging Sources Citation Index
dc.identifier.doi 10.47974/JDMSC-2248
dc.identifier.endpage 509 en_US
dc.identifier.issn 0972-0529
dc.identifier.issn 2169-0065
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-105003391884
dc.identifier.scopusquality Q2
dc.identifier.startpage 491 en_US
dc.identifier.uri https://doi.org/10.47974/JDMSC-2248
dc.identifier.uri https://hdl.handle.net/20.500.14720/24966
dc.identifier.volume 28 en_US
dc.identifier.wos WOS:001487893100025
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Taru Publications en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Metric Dimension en_US
dc.subject Vertex Identification en_US
dc.subject Polythiophene Network en_US
dc.subject Backbone Dna Network en_US
dc.subject Bakelite Network en_US
dc.subject Graph Theory en_US
dc.subject Lattice Networks en_US
dc.subject Organic Electronics en_US
dc.title Exploring Metric Dimensions in Chemical Structures : Insights and Applications en_US
dc.type Article en_US

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