On Computation of Entropy Measures and Their Statistical Analysis for Complex Benzene Systems

dc.contributor.author Wang, Xiaojiao
dc.contributor.author Hanif, Muhammad Farhan
dc.contributor.author Mahmood, Hasan
dc.contributor.author Manzoor, Shazia
dc.contributor.author Siddiqui, Muhammad Kamran
dc.contributor.author Cancan, Murat
dc.date.accessioned 2025-05-10T17:20:55Z
dc.date.available 2025-05-10T17:20:55Z
dc.date.issued 2023
dc.description Siddiqui, Muhammad Kamran/0000-0002-2607-4847; Hanif, Muhammad Farhan/0000-0002-2439-3967; , Shazia Manzoor/0000-0001-9867-7148 en_US
dc.description.abstract Benzene is aromatic organic compound having six membered ring. Molecular studies provide evidence of presence of three alternative double bond providing exceptional stability to the molecule. Being basic unit of organic chemicals, benzene is widely used in pharmaceuticals, rubber, pesticides, dyes, lubricants, explosives and additives. Benzene derivatives are used in production of dyes, deodorants, pesticides, organic solvents, dispersants, plasticizers, and drugs. Keeping in view the extensive applications of benzene derivatives, we made use of QSPR analysis for predicting the multiple chemical and physical properties of organic compounds. By using SPSS software, correlation between newly introduced entropies and the Physico-chemical properties of benzene derivatives is examined. Our acquired consequences demonstrated that two physical properties of chemical structures, ie Boiling Point and enthalpy can be best predicted from the fifth ND entropy, and the other two properties namely Pie-electron Energy and molecular weight predicted from the neighborhood version of redefined first Zagreb entropy and neighborhood version of redefined second Zagreb entropy, respectively. en_US
dc.description.sponsorship Fund of Science Research Team of AISU en_US
dc.description.sponsorship This research project is supported by the Fund of Science Research Team of AISU(NO. awkytd1909). en_US
dc.identifier.doi 10.1080/10406638.2022.2139734
dc.identifier.issn 1040-6638
dc.identifier.issn 1563-5333
dc.identifier.scopus 2-s2.0-85141672469
dc.identifier.uri https://doi.org/10.1080/10406638.2022.2139734
dc.identifier.uri https://hdl.handle.net/20.500.14720/10239
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Qspr en_US
dc.subject Neighborhood Version Of Entropy en_US
dc.subject Organic Compounds en_US
dc.title On Computation of Entropy Measures and Their Statistical Analysis for Complex Benzene Systems en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Siddiqui, Muhammad Kamran/0000-0002-2607-4847
gdc.author.id Hanif, Muhammad Farhan/0000-0002-2439-3967
gdc.author.id , Shazia Manzoor/0000-0001-9867-7148
gdc.author.scopusid 57960631500
gdc.author.scopusid 57212466973
gdc.author.scopusid 57190068107
gdc.author.scopusid 57217199761
gdc.author.scopusid 54790221000
gdc.author.scopusid 35185892900
gdc.author.wosid Hanif, Muhammad Farhan/Juu-3592-2023
gdc.author.wosid Cancan, Murat/Aab-4391-2020
gdc.author.wosid Siddiqui, Muhammad Kamran/B-1741-2017
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
gdc.description.departmenttemp [Wang, Xiaojiao] Anhui Int Studies Univ, Hefei, Anhui, Peoples R China; [Hanif, Muhammad Farhan; Mahmood, Hasan] Govt Coll Univ, Abdus Salam Sch Math Sci, Lahore, Pakistan; [Mahmood, Hasan] Govt Coll Univ, Dept Math, Lahore, Pakistan; [Manzoor, Shazia; Siddiqui, Muhammad Kamran] COMSATS Univ Islamabad, Dept Math, Lahore Campus, Lahore, Pakistan; [Cancan, Murat] Van Yuzuncu Yil Univ, Fac Educ, Van, Turkey en_US
gdc.description.endpage 7768 en_US
gdc.description.issue 9 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 7754 en_US
gdc.description.volume 43 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.wos WOS:000880450700001
gdc.index.type WoS
gdc.index.type Scopus

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