Artículo
FoamExplorer: Automated measurement of ligaments and voids for atomistic systems
Fecha de publicación:
12/2020
Editorial:
Elsevier
Revista:
Computational Materials Science
ISSN:
0927-0256
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Atomistic simulations are often used to explore the mechanical and chemical properties of a variety of materials and structures, such as nanowires, whiskers, nanospheres, nanotrusses, and nanoscale foams, among others. Properties derived from such simulations often rely on an adequate determination of certain characteristic dimensions, which for the case of nanoporous foams include average ligament diameter and average void diameter. In principle, a given atomistic configuration contains all the necessary information to measure such important dimensions, but they are difficult to obtain in practice. We present an automated, open-source digital analysis software that can be used to study three-dimensional atomistic samples, regardless of their topological structure or degree of crystallinity. In this paper, we introduce a code than can systematically analyze atomistic samples and extract quantitative information for average ligament and void sizes, together with their distribution. We describe the software and test it on a set of samples, including highly symmetric topologies, and a non-symmetric nanoporous metal sample. Both crystalline and amorphous structures are measured. The code is highly efficient and can provide void and ligament size distributions for samples with tens of millions of atoms in minutes.
Palabras clave:
LIGAMENTS
,
NANOFOAM
,
POROSITY
,
VOIDS
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - MENDOZA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Citación
Aparicio, Emiliano; Millán, Emmanuel Nicolás; Ruestes, Carlos Javier; Bringa, Eduardo Marcial; FoamExplorer: Automated measurement of ligaments and voids for atomistic systems; Elsevier; Computational Materials Science; 185; 12-2020; 1-10
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