Mechanistic insights into catalytic reduction of N2O by CO over cu-embedded graphene: A density functional theory perspective
[ X ]
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IOP Publishing Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the mechanism of N2O reduction by CO over Cu-embedded graphene(CuG) surface was examined through Density Functional Theory(DFT) with Grimme-D2 dispersion correction. Cu-embedded graphene networks can be synthesized experimentally, and are less costly than plain graphene by virtue of the limited use of Cu atoms. Cu atoms strongly bond to defective structures and make the structure more stable. The binding energy between the defective graphene structure and the Cu atom was calculated as -3.92 eV. The Bader analysis was performed for CuG surface characteristics, and adsorption geometries of N2O and electron density difference maps were created. The results showed that the charge density of Cu atoms provided a high catalytic activity for reduction reactions. O*atom adsorbed to the surface renders O transfer easier. The results indicated that there were 0.16 ?e? and 0.02 ?e? electron were transferred from the surface to the N-terminated and O-terminated N2O molecule, respectively. The calculations proved that the surface possessed a high catalytic activity on O*+N2O ? N2 + O2 and CO + N2O ? CO2 + N2 reduction reactions. This study paves the way for tailoring a high-performance electrocatalyst for NO2 reduction reaction by considering the high electrocatalytic activity and superior physicochemical properties of Cu-embedded graphene.
Açıklama
*Akça, Aykan ( Aksaray, Yazar )
Anahtar Kelimeler
Atoms, Binding Energy, Catalyst Activity, Copper
Kaynak
ECS Journal of Solid State Science and Technology
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
10
Sayı
4
