The random phase approximation applied to solids, molecules, and graphene-metal interfaces: From weak to strong binding regimes
Thomas Olsen, Kristian S. Thygesen

TL;DR
This paper demonstrates the effectiveness of the random phase approximation (RPA) in accurately modeling a wide range of systems, from weak van der Waals interactions to strong covalent bonds, especially in metal-organic interfaces.
Contribution
The study applies plane wave-based RPA calculations to diverse systems, highlighting its ability to capture both dispersive and covalent interactions better than other density functionals.
Findings
RPA accurately models graphene-metal interfaces.
RPA captures both weak and strong interactions effectively.
Benchmarking shows RPA's limitations with delocalization errors.
Abstract
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 without compromising accuracy for short range interactions making the RPA superior to semi-local and hybrid functionals in systems dominated by weak van der Waals or mixed covalent-dispersive interactions. In this work we present plane wave-based RPA calculations for a broad collection of systems with bond types ranging from strong covalent to van der Waals. Our main result is the RPA potential energy surfaces of graphene on the Cu(111), Ni(111), Co(0001), Pd(111), Pt(111), Ag(111), Au(111), and Al(111) metal surfaces, which represent archetypical examples of metal-organic interfaces. Comparison with semi-local density approximations and a non-local van der Waals functional show…
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