2019
DOI: 10.1016/j.commatsci.2019.109187
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Determining phase transition using potential energy distribution and surface energy of Pd nanoparticles

Abstract: Molecular dynamics simulation is employed to understand the thermodynamic behavior of cuboctahedron (cub) and icosahedron (ico) nanoparticles with 2 -20 number of shells (55 -28741 atoms). The embedded atom method was used to describe the interatomic potential. Conventional melting criteria such as potential energy and specific heat capacity (C p ) caloric curves as well as structure analysis by radial distribution function (G(r)) and common neighbor analysis (CNA) were utilized simultaneously to provide a com… Show more

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Cited by 12 publications
(12 citation statements)
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References 50 publications
(88 reference statements)
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“…We considered the common neighbor analysis (CNA) method [60,61,62] to characterize the local structure. CNA allows us to distinguish between face centered cubic (fcc) and hexagonal close-packed (hcp) structures which is of practical importance in defect analysis [63,64]. This is achieved by de-termining the angles between the nearest neighbors, and thus the fcc and hcp lattices, having central and mirror symmetry in (111) planes, respectively, can be distinguished by a slight angle difference.…”
Section: Methodsmentioning
confidence: 99%
“…We considered the common neighbor analysis (CNA) method [60,61,62] to characterize the local structure. CNA allows us to distinguish between face centered cubic (fcc) and hexagonal close-packed (hcp) structures which is of practical importance in defect analysis [63,64]. This is achieved by de-termining the angles between the nearest neighbors, and thus the fcc and hcp lattices, having central and mirror symmetry in (111) planes, respectively, can be distinguished by a slight angle difference.…”
Section: Methodsmentioning
confidence: 99%
“…We considered the common neighbor analysis (CNA) method [58,59,60] to characterize the local structure. CNA allows us to distinguish between fcc and hcp structures which is of practical importance in defect analysis [61,62]. This is achieved by determining the angles between the nearest neighbors, and thus the fcc and hcp lattices, having central and mirror symmetry in (111) planes, respectively, can be distinguished by a slight angle difference.…”
Section: Methodsmentioning
confidence: 99%
“…The most common structure characterization is to utilize the radial distribution function, g(r). 64,65 In order to study the film-substrate interface quantitatively, we utilized partial g(r), g ij (r). This approach was originally introduced by Ashcroft and Langreth 66 for analyzing binary mixtures.…”
Section: Methodsmentioning
confidence: 99%
“…Besides, it allows distinction between fcc and hcp which is of practical importance in defect analysis. 64,65 Briefly, the CNA determines local crystal structure based on decomposition of 1st nearest neighbors (NNs), from 1st g(r) peak, into different angles. Thus, CNA is sensitive to angles between pairs of NNs and can distinguish between fcc and hcp structure.…”
Section: Methodsmentioning
confidence: 99%