Artículo
Adsorption of interacting particles on bivariate diffusion-limited aggregates
Fecha de publicación:
27/03/2021
Editorial:
Springer
Revista:
European Physical Journal E
ISSN:
1292-8941
e-ISSN:
1292-895X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The adsorption of pairwise interacting particles on fractal surfaces has been studied by grand canonical Monte Carlo simulations. The substrate is built from a mixture of two types of objects: (i) objects with two bonds and (ii) objects with four bonds. These objects move on a square lattice, according to diffusion-limited aggregation (DLA) rules, and stick to each other only if they have a free bond pointing at each other and, of course, are first neighbors of each other. The resulting substrate, which is named as bivariate diffusion-limited aggregate (BDLA), is a fractal structure composed by two bonds units with fraction f2 and four bonds units with concentration f4=1−f2. Different surface morphologies are obtained by varying f2 and f4. In the limit case of f2=0 and f4=1, the standard DLA model is recovered. In addition, repulsive lateral interactions between adsorbed particles are considered. Adsorption isotherms and differential heats of adsorption are calculated for different values of the parameters of the system. In the case of high repulsive couplings, a wide variety of structural orderings are observed in the adlayer. The main characteristics of these ordered phases are discussed in terms of the topological properties of the bivariate aggregates.
Palabras clave:
Adsorción
,
DLA
,
Monte Carlo
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(INFAP)
Articulos de INST. DE FISICA APLICADA "DR. JORGE ANDRES ZGRABLICH"
Articulos de INST. DE FISICA APLICADA "DR. JORGE ANDRES ZGRABLICH"
Citación
Sanchez Varretti, Fabricio Orlando; Ramirez Pastor, Antonio Jose; Adsorption of interacting particles on bivariate diffusion-limited aggregates; Springer; European Physical Journal E; 44; 3; 27-3-2021; 1-10; 44
Compartir
Altmétricas