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  5. van der Waals Correction to the Physisorption of Graphene on Metal Surfaces

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Article
en
2019

van der Waals Correction to the Physisorption of Graphene on Metal Surfaces

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en
2019
Vol 123 (22)
Vol. 123
DOI: 10.1021/acs.jpcc.9b02838

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John P Perdew
John P Perdew

Tulane University

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Hong Tang
Jianmin Tao
Adrienn Ruzsinszky
+1 more

Abstract

Adsorption is a scientifically and technologically important interfacial phenomenon, which however presents challenges to conventional density functional theory (DFT) due to the long-range van der Waals (vdW) interactions. We have developed a model of long-range vdW correction for physisorption of graphene (G) on metals with the Lifshitz–Zaremba–Kohn second-order perturbation theory, by incorporating dipole- and quadrupole-surface interactions and screening effects. The physisorption energies calculated by the model between graphene and eight metal surfaces (Al, Ni, Co, Pd, Pt, Cu, Ag, and Au), and the adsorption energies for the same G/metal structures from self-consistent DFT PBE (Perdew–Burke–Ernzerhof) calculations, are obtained in a range of distances between G and the metal surfaces. The sum of these two parts is the total adsorption energy as a function of the distance, from which the equilibrium distance and the binding energy are determined simultaneously. The results show high accuracy, with the mean absolute error (MAE) of binding energy of 7 meV and the MAE of equilibrium distance of 0.2 Å, significantly improving upon other vdW methods. The PBE + vdW binding energy curves give better fits to the random phase approximation curves around the equilibrium distances than do the curves of other methods considered here. The higher-order quadrupole-surface correction is important and accounts for about 30% of the total vdW correction.

How to cite this publication

Hong Tang, Jianmin Tao, Adrienn Ruzsinszky, John P Perdew (2019). van der Waals Correction to the Physisorption of Graphene on Metal Surfaces. , 123(22), DOI: https://doi.org/10.1021/acs.jpcc.9b02838.

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Publication Details

Type

Article

Year

2019

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.jpcc.9b02838

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