Web of Science: Digging SiC Semiconductor Efficiency for Trapping Main Group Metals in Cell Batteries: Application of Computational Chemistry by Mastering the Density Functional Theory Study
| dc.contributor.author | Mollaamin, F. | |
| dc.contributor.author | Monajjemi, M. | |
| dc.date.accessioned | 2025-12-04T05:53:24Z | |
| dc.date.issued | 2025.01.01 | |
| dc.description.abstract | In this research article, a silicon carbide (SiC) nanocluster has been designed and characterized as an anode electrode for lithium (Li), sodium (Na), potassium (K), beryllium (Be), magnesium (Mg), boron (B), aluminum (Al) and gallium (Ga)-ion batteries through the formation of SiLiC, SiNaC, SiKC, SiBeC, SiMgC, SiBC, SiAlC and SiGaC nanoclusters. A vast study on energy-saving by SiLiC, SiNaC, SiKC, SiBeC, SiMgC, SiBC, SiAlC and SiGaC complexes was probed using computational approaches accompanying density state analysis of charge density differences (CDDs), total density of states (TDOS) and molecular electrostatic potential (ESP) for hybrid clusters of SiLiC, SiNaC, SiKC, SiBeC, SiMgC, SiBC, SiAlC and SiGaC. The functionalization of Li, Na, K, Be, Mg, B, Al and Ga metal/metalloid elements can raise the negative charge distribution of carbon elements as electron acceptors in SiLiC, SiNaC, SiKC, SiBeC, SiMgC, SiBC, SiAlC and SiGaC nanoclusters. Higher Si/C content can increase battery capacity through SiLiC, SiNaC, SiKC, SiBeC, SiMgC, SiBC, SiAlC and SiGaC nanoclusters for energy storage processes and to improve the rate performance by enhancing electrical conductivity. | |
| dc.identifier.doi | 10.3390/computation13110265 | |
| dc.identifier.eissn | 2079-3197 | |
| dc.identifier.endpage | ||
| dc.identifier.issue | 11 | |
| dc.identifier.startpage | ||
| dc.identifier.uri | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:001623580400001&DestLinkType=FullRecord&DestApp=WOS_CPL | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12597/35332 | |
| dc.identifier.volume | 13 | |
| dc.identifier.wos | 001623580400001 | |
| dc.language.iso | en | |
| dc.relation.ispartof | COMPUTATION | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | novel hybrid-ion batteries | |
| dc.subject | silicon carbide | |
| dc.subject | groups 1,2,13 metal/metalloid | |
| dc.subject | DFT | |
| dc.title | Digging SiC Semiconductor Efficiency for Trapping Main Group Metals in Cell Batteries: Application of Computational Chemistry by Mastering the Density Functional Theory Study | |
| dc.type | Article | |
| dspace.entity.type | Wos |
