APS March Meeting 2015
Volume 60, Number 1
Monday–Friday, March 2–6, 2015;
San Antonio, Texas
Session J9: Focus Session: van der Waals Bonding in Advanced Materials: Layered Materials
2:30 PM–5:30 PM,
Tuesday, March 3, 2015
Room: 006D
Sponsoring
Unit:
DMP
Chair: John Dobson, Griffith University
Abstract ID: BAPS.2015.MAR.J9.4
Abstract: J9.00004 : RPA and beyond-RPA total energy methods for strongly and weakly bonded materials
3:06 PM–3:42 PM
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Abstract
Author:
Kristian Thygesen
(Center for Atomic-scale Materials Design (CAMD), Technical University of Denmark)
The random phase approximation (RPA) is attracting renewed interest as a
universal and accurate method for first-principles total energy
calculations. The RPA naturally accounts for long-range dispersive forces
making the RPA superior to density and hybrid functionals in systems
dominated by weak van der Waals or mixed covalent-dispersive interactions.
We have applied the RPA to calculate the potential energy surfaces of
graphene on various metal surfaces. For some of the metals, the RPA binding
energy curve shows two distinct minima which arise from a delicate balance
between covalent and dispersive forces that are not captured by standard
semilocal or van der Waals density functionals [1]. We benchmark the RPA by
calculating cohesive energies of graphite and a range of covalently bonded
solids and molecules as well as the dissociation curves of H2 and H2$+$.
These results show that the RPA with orbitals from the local density
approximation suffers from delocalization errors and systematically
underestimates covalent bond energies yielding similar or lower accuracy
than the Perdew-Burke-Ernzerhof (PBE) functional for molecules and
solids [1]. Inclusion of an adiabatic xc-kernel defined through a
renormalization of the LDA kernel is found to significantly improve the RPA
description of short range correlations yielding essentially exact results
for the homogeneous electron gas [2]. By generalizing this renormalized LDA
xc-kernel to inhomogeneous systems we find a fourfold improvement of RPA
binding energies in both molecules and solids. We also consider examples of
barrier heights in chemical reactions, molecular adsorption, and graphene
interacting with metal surfaces, which are three examples where the RPA has
been successful. In these cases, the renormalized kernel provides results
that are of equal quality or even slightly better than the RPA, with a
similar computational cost [3].
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[1] T. Olsen and K. S. Thygesen, Phys. Rev. B 87, 075111 (2013)\\[0pt]
[2] T. Olsen and K. S. Thygesen, Phys. Rev. B 88, 115131 (2013)\\[0pt]
[3] T. Olsen and K. S. Thygesen, Phys. Rev. Lett. 112, 203001 (2014)
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2015.MAR.J9.4