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dc.contributor.author
Ferraresi Curotto, Verónica  
dc.contributor.author
Pis Diez, Reinaldo  
dc.date.available
2024-05-31T14:44:13Z  
dc.date.issued
2011-07  
dc.identifier.citation
Ferraresi Curotto, Verónica; Pis Diez, Reinaldo; Density functional study on the geometric features and growing pattern of AlnNm clusters (n = 1-4, m = 1-4, n + m ≤ 5); Elsevier Science; Computational Materials Science; 50; 12; 7-2011; 3390-3396  
dc.identifier.issn
0927-0256  
dc.identifier.uri
http://hdl.handle.net/11336/236726  
dc.description.abstract
The bonding features of AlnNm clusters (n = 1–4, m = 1–4, n + m ≤ 5) are studied within the framework of the density functional theory following a systematic growing mechanism. Various geometries are found to be more stable than structures reported elsewhere for small Al–N aggregates. In other cases, good agreement exists with results already reported by other authors. It is also found that Al–N clusters tend to grow mainly towards nonlinear bidimensional structures up to the pentamer. The ability to form triple N–N bonds is important for the relative stability of clusters as they grow. The growing patterns could be explained mainly in terms of electrophilic attacks of both Al and N atoms to the corresponding sites in the aggregates of lower size. It is found that atomic charges derived from molecular electrostatic potentials allow to rationalize the electrophilic attacks, being then useful to understand the growing paths followed by small Al–N clusters.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Al-N CLUSTERS  
dc.subject
GROWING PATTERN  
dc.subject
DENSITY FUNCTIONAL THEORY  
dc.subject.classification
Otras Ciencias Químicas  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Density functional study on the geometric features and growing pattern of AlnNm clusters (n = 1-4, m = 1-4, n + m ≤ 5)  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-05-31T09:59:13Z  
dc.journal.volume
50  
dc.journal.number
12  
dc.journal.pagination
3390-3396  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Ferraresi Curotto, Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Química Inorgánica "Dr. Pedro J. Aymonino". Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Química Inorgánica "Dr. Pedro J. Aymonino"; Argentina  
dc.description.fil
Fil: Pis Diez, Reinaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Química Inorgánica "Dr. Pedro J. Aymonino". Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Química Inorgánica "Dr. Pedro J. Aymonino"; Argentina  
dc.journal.title
Computational Materials Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.commatsci.2011.06.035  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0927025611003776