4.7 Article

Systematic Improvability in Quantum Embedding for Real Materials

Journal

PHYSICAL REVIEW X
Volume 12, Issue 1, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevX.12.011046

Keywords

-

Funding

  1. Royal Society via a University Research Fellowship [URF\R\191019]
  2. European Research Council under the European Union's Horizon 2020 research and innovation program [759063]

Ask authors/readers for more resources

In this study, a new quantum embedding theory is proposed, which combines density-matrix embedding theory with local correlation approaches from quantum chemistry. This theory allows for systematic convergence of properties of real materials and can provide accurate results without the need for empirical parameters.
Quantum embedding methods have become powerful tools to overcome the deficiencies of traditional quantum modeling in materials science. However, while these are systematically improvable in principle, in practice it is rarely possible to achieve rigorous convergence and often necessary to employ empirical parameters. Here, we formulate a quantum embedding theory, building on the methods of density-matrix embedding theory combined with local correlation approaches from quantum chemistry, to ensure the ability to systematically converge properties of real materials with accurate correlated wave-function methods controlled by a single, rapidly convergent parameter. By expanding supercell size, basis set, and the resolution of the fluctuation space of an embedded fragment, we show that the systematic improvability of the approach yields accurate structural and electronic properties of realistic solids without empirical parameters, even across changes in geometry. The results are presented in insulating, semimetallic, and more strongly correlated regimes, finding state-of-the-art agreement with experimental data.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available