Publication: Transition metal (X = Mn, Fe, Co, Ni, Cu, Zn)-doped graphene as gas sensor for CO and NO detection: a molecular modeling framework by DFT perspective.
dc.contributor.author | Mollaamin, Fatemeh, Monajjemi, Majid | |
dc.contributor.author | Mollaamin, F, Monajjemi, M | |
dc.date.accessioned | 2023-05-08T22:49:52Z | |
dc.date.available | 2023-05-08T22:49:52Z | |
dc.date.issued | 2023-03-29T00:00:00Z | |
dc.date.issued | 2023.01.01 | |
dc.description.abstract | In this research, CO and NO adsorption on doped nanographene (NG) sheets with transition metals (Fe, Ni, Zn) and (Mn, Co, Cu), respectively, have been applied for scavenging of these toxic gases as the environmental pollutants. The values of changes of atomic charge density have illustrated a more significant charge transfer for Ni-doped C-NG through CO adsorption and a more remarkable charge transfer for Co-doped C-NG through NO adsorption. The data of NMR spectroscopy has depicted several fluctuations around the graph of Zn-doped on the nanographene surface. The thermodynamic results from IR spectroscopy have indicated that [Formula: see text] values are almost similar for doped metal transitions of Mn, Co, and Cu on the C-NG nanosheet, while [Formula: see text] has the largest gap of Gibbs free energy adsorption with dipole moment. | |
dc.identifier.doi | 10.1007/s00894-023-05526-3 | |
dc.identifier.eissn | 0948-5023 | |
dc.identifier.issn | 1610-2940 | |
dc.identifier.pubmed | 36988725 | |
dc.identifier.scopus | 2-s2.0-85151313055 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12597/11772 | |
dc.identifier.volume | 29 | |
dc.identifier.wos | WOS:000960912900002 | |
dc.relation.ispartof | Journal of Molecular Modeling | |
dc.relation.ispartof | JOURNAL OF MOLECULAR MODELING | |
dc.rights | false | |
dc.subject | (Fe, Ni, Zn) @C-NG | |
dc.title | Transition metal (X = Mn, Fe, Co, Ni, Cu, Zn)-doped graphene as gas sensor for CO and NO detection: a molecular modeling framework by DFT perspective. | |
dc.title | Transition metal (X = Mn, Fe, Co, Ni, Cu, Zn)-doped graphene as gas sensor for CO2 and NO2 detection: a molecular modeling framework by DFT perspective | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 4 | |
oaire.citation.volume | 29 | |
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