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Título
DFT-Based Global Optimization of Sub-nanometer Ni–Pd Clusters
Año del Documento
2019
Documento Fuente
The Journal of Physical Chemistry C, October 2019, vol. 123, n. 43, p. 26583-26596
Abstract
The Mexican Enhanced Genetic Algorithm (MEGA) has been used to study the
structural and energetic properties of Pd, Ni and Ni-Pd nanocluster structures with
3-10 atoms. Density functional theory (DFT) calculations have been performed to in-
vestigate the structural behaviour, spin magnetic moments and stability as a function
of cluster size and composition. Various stability criteria (e.g binding energies, second
di erences in energy and mixing/excess energies) have been used to evaluate the ener-
getics, structures and tendency to segregation in sub-nanometre Ni-Pd clusters. The
ability of the approach in searching for global minima (i.e. the lowest energy isomers)
has been assessed using a systematic homotop search of mono-substituted clusters and
the preferred doping sites.
ISSN
1932-7447
Revisión por pares
SI
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
Collections
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