2015
DOI: 10.1166/jctn.2015.3766
|View full text |Cite
|
Sign up to set email alerts
|

A Modified Universal Rose-Smith-Francisco-Ferrante Cohesive Energy Function for FCC Transition Spherical Metallic Nanoparticles

Abstract: The purpose of this novel work is to calculate the cohesive energy of FCC transition metallic nanoparticles that comprise up-to-12215 atoms. In this paper, a modification of the universal pair potential function proposed by Rose et al. (1981), is introduced. While Rose's function works fine for bulk materials, it fails to predict the experimental results for FCC metallic nanoparticles. The Chen-Mobius method was used to construct the modified pair potential which had been summed over all pairs of atoms within … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

1
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 20 publications
1
3
0
Order By: Relevance
“…Our predicted results show that as the NP gets smaller, the work done per unit volume is less. These predictions of the bulk modulus B agree with the results found by many researchers [2,5,6,[10][11][12][13]15].…”
supporting
confidence: 91%
See 3 more Smart Citations
“…Our predicted results show that as the NP gets smaller, the work done per unit volume is less. These predictions of the bulk modulus B agree with the results found by many researchers [2,5,6,[10][11][12][13]15].…”
supporting
confidence: 91%
“…However, our recent work in [12,13,15] predicted a decrease in B as the size decreases for spherical NPs for Pt, Au, Ag and Ni, and for Mo and W. Clearly, up to date B of nanosolids shows inconsistent trends for different materials and needs further studies and investigations. We link these inconsistent results to the shape of the nanosolids and to their surface characteristics.…”
Section: Introductionmentioning
confidence: 92%
See 2 more Smart Citations