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dc.contributor.authorGuo, Lei
dc.contributor.authorSafi, Zaki S.
dc.contributor.authorKaya, Savas
dc.contributor.authorShi, Wei
dc.contributor.authorTuzun, Burak
dc.contributor.authorAltunay, Nail
dc.contributor.authorKaya, Cemal
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:38:10Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:38:10Z
dc.date.issued2018
dc.identifier.issn2296-2646
dc.identifier.urihttps://dx.doi.org/10.3389/fchem.2018.00155
dc.identifier.urihttps://hdl.handle.net/20.500.12418/6280
dc.descriptionWOS: 000431478700002en_US
dc.descriptionPubMed ID: 29868558en_US
dc.description.abstractIt is known that iron is one of the most widely used metals in industrial production. In this work, the inhibition performances of three thiophene derivatives on the corrosion of iron were investigated in the light of several theoretical approaches. In the section including DFT calculations, several global reactivity descriptors such as E-HOMO, E-LUMO, ionization energy (I), electron affinity (A), HOMO-LUMO energy gap (Delta E), chemical hardness (eta), softness (sigma), as well as local reactivity descriptors like Fukui indices, local softness, and local electrophilicity were considered and discussed. The adsorption behaviors of considered thiophene derivatives on Fe(110) surface were investigated using molecular dynamics simulation approach. To determine the most active corrosion inhibitor among studied thiophene derivatives, we used the principle component analysis (PCA) and agglomerative hierarchical cluster analysis (AHCA). Accordingly, all data obtained using various theoretical calculation techniques are consistent with experiments.en_US
dc.description.sponsorshipNational Natural Science Foundation of China [21706195]; Cumhuriyet University Scientific Research Project Commission [F495]; Guizhou Province Science Fund for Excellent Young Scholars [QKHTC2017-5604]; Science and Technology Program of Guizhou Province [QKHJC2016-1149]; Provincial Key Disciplines of Chemical Engineering and Technology in Guizhou Province [ZDXK2017-8]; Guizhou Provincial Department of Education Foundation [QJHKYZ2016-105]en_US
dc.description.sponsorshipThis work was financially supported by the National Natural Science Foundation of China (21706195), the Cumhuriyet University Scientific Research Project Commission as a research project with F495 code, the Guizhou Province Science Fund for Excellent Young Scholars (QKHTC2017-5604), the Science and Technology Program of Guizhou Province (QKHJC2016-1149), the Provincial Key Disciplines of Chemical Engineering and Technology in Guizhou Province (ZDXK2017-8), and the Guizhou Provincial Department of Education Foundation (QJHKYZ2016-105).en_US
dc.language.isoengen_US
dc.publisherFRONTIERS MEDIA SAen_US
dc.relation.isversionof10.3389/fchem.2018.00155en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcorrosion inhibitionen_US
dc.subjectmolecular dynamics simulationen_US
dc.subjectDFTen_US
dc.subjectadsorptionen_US
dc.subjectprinciple component analysisen_US
dc.titleAnticorrosive Effects of Some Thiophene Derivatives Against the Corrosion of Iron: A Computational Studyen_US
dc.typearticleen_US
dc.relation.journalFRONTIERS IN CHEMISTRYen_US
dc.contributor.department[Guo, Lei -- Shi, Wei] Tongren Univ, Sch Mat & Chem Engn, Tongren, Peoples R China -- [Safi, Zaki S.] Al Azhar Univ Gaza, Fac Sci, Chem Dept, Gaza City, Palestine -- [Kaya, Savas -- Tuzun, Burak -- Altunay, Nail -- Kaya, Cemal] Cumhuriyet Univ, Fac Sci, Dept Chem, Sivas, Turkeyen_US
dc.identifier.volume6en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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