Artículo
Understanding the effects of metal particle size on the NO2 reduction from a DFT study
Fecha de publicación:
30/09/2019
Editorial:
Elsevier Science
Revista:
Applied Surface Science
ISSN:
0169-4332
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The study of the effect of particle size and low coordination sites in metal nanoparticles (Cun, Agn and Aun with n = 19, 38, 55, 79 and 116) on the reduction of NO2 to NO + O, was carried out using density functional theory (DFT) calculations. All metal nanoparticles have shown to be more favorable for the NO2 adsorption than the (111) extended surfaces. The adsorption energy order of NO2 found for both configurations, O-down (most stable) and N-down, was Cu > Ag > Au. The dissociation energy values of NO2 on Cu and Ag nanoparticles decrease with the increment of the particle size, however, considering the activation barrier values, the most reactive substrates evaluated were Cu(111) surface, and the Cu19, Cu116. The activation barriers (Eact) for the larger nanoparticles, were obtained using a non-traditional relationship of Brönsted Evans Polanyi (BEP), from the Eact calculated on the smaller ones. The BEP relations highly depend on the reaction product configurations and also on the structure of the active site. Notwithstanding that the nanoparticles improve the NO2 adsorption and the dissociation energies are lower than those corresponding to the extended surfaces, the activation barriers are higher.
Palabras clave:
DFT
,
REDUCTION
,
NANOPARTICLES
,
ADSORPTION
,
Cu
,
Ag
,
Au
,
NO2
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IFISUR)
Articulos de INSTITUTO DE FISICA DEL SUR
Articulos de INSTITUTO DE FISICA DEL SUR
Articulos(INFAP)
Articulos de INST. DE FISICA APLICADA "DR. JORGE ANDRES ZGRABLICH"
Articulos de INST. DE FISICA APLICADA "DR. JORGE ANDRES ZGRABLICH"
Citación
Pascucci, Bruno; Otero, Guadalupe Sol; Belelli, Patricia Gabriela; Branda, Maria Marta; Understanding the effects of metal particle size on the NO2 reduction from a DFT study; Elsevier Science; Applied Surface Science; 489; 30-9-2019; 1019-1029
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