Embedded atom method interatomic potentials fitted upon density functional theory calculations for the simulation of binary Pt-Ni nanoparticles
File(s)Pt-Nidraft-102.docx (342.5 KB)
Accepted version
Author(s)
Symianakis, E
Kucernak, A
Type
Journal Article
Abstract
Embedded Atom Method (EAM) potentials have been fitted for the atomistic simulation of small, 2–
5 nm, binary, PtANi, nanoparticles completely from Density Functional Theory (DFT) total energy calculations.
The overall quality of the DFT calculations and the final potential is obtained through the independent
calculation of an array of properties of the pure metals and the stable alloys, which are
normally used for the fitting of interatomic potentials. The ability of the fitted potentials to simulate
nanostructures is evaluated by the reproduction of binary nanoslabs with thickness 1 nm, and nanoparticles
in the extreme case of the smallest icosahedrons possible, with diameter 0.6 nm. The used
approach requires high quality of convergence but otherwise low cost DFT as it is based on static total
energy calculations. It also provides objective criteria for the evaluation of the fitted potentials during fitting
and has been implemented with the open source code GULP
5 nm, binary, PtANi, nanoparticles completely from Density Functional Theory (DFT) total energy calculations.
The overall quality of the DFT calculations and the final potential is obtained through the independent
calculation of an array of properties of the pure metals and the stable alloys, which are
normally used for the fitting of interatomic potentials. The ability of the fitted potentials to simulate
nanostructures is evaluated by the reproduction of binary nanoslabs with thickness 1 nm, and nanoparticles
in the extreme case of the smallest icosahedrons possible, with diameter 0.6 nm. The used
approach requires high quality of convergence but otherwise low cost DFT as it is based on static total
energy calculations. It also provides objective criteria for the evaluation of the fitted potentials during fitting
and has been implemented with the open source code GULP
Date Issued
2017-03-26
Date Acceptance
2017-03-11
Citation
Computational Materials Science, 2017, 133, pp.185-193
ISSN
0927-0256
Publisher
Elsevier
Start Page
185
End Page
193
Journal / Book Title
Computational Materials Science
Volume
133
Copyright Statement
© 2017 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000399611200023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/G06704X/1
EP/P024807/1
Subjects
Science & Technology
Technology
Materials Science, Multidisciplinary
Materials Science
Nanoparticles
Simulation
Fitting
EAM
DFT
Bimetallic
GENERALIZED GRADIENT APPROXIMATION
BRILLOUIN-ZONE INTEGRATIONS
INITIO MOLECULAR-DYNAMICS
TOTAL-ENERGY CALCULATIONS
EQUATION-OF-STATE
WAVE BASIS-SET
TRANSITION-METAL
SPECIAL POINTS
ALLOYS
SURFACES
0912 Materials Engineering
0204 Condensed Matter Physics
Materials
Publication Status
Published