Abstract

Quantitative prediction of electronic properties in correlated materials requires simulations without empirical truncations and parameters. We present a method to achieve this goal through a new ab initio formulation of dynamical mean-field theory (DMFT). Instead of using small impurities defined in a low-energy subspace, which require complicated downfolded interactions which are often approximated, we describe a full cell $GW$+DMFT approach, where the impurities comprise all atoms in a unit cell or supercell of the crystal. Our formulation results in large impurity problems, which we treat here with efficient quantum chemistry impurity solvers that work on the real-frequency axis, combined with a one-shot $G_0W_0$ treatment of long-range interactions. We apply our full cell approach to bulk Si, two antiferromagnetic correlated insulators NiO and $\alpha$-Fe$_2$O$_3$, and the paramagnetic correlated metal SrMoO$_3$, with impurities containing up to 10 atoms and 124 orbitals. We find that spectral properties, magnetic moments, and two-particle spin correlation functions are obtained in good agreement with experiments. In addition, in the metal oxide insulators, the balanced treatment of correlations involving all orbitals in the cell leads to new insights into the orbital character around the insulating gap.

Highlights

  • Computing the properties of correlated electron materials with quantitative accuracy remains a fundamental challenge in ab initio simulations [1]

  • We find that the lowest conduction band has strong Ni-4s and O-2s character at the Γ point (CBM), which is not discussed in many earlier dynamical mean-field theory (DMFT) calculations [28,90,91] which focus on the Ni-3d and O-2p orbitals and, do not include Ni-4s orbitals in the impurity, unlike our full cell GW þ DMFT treatment

  • We introduced a full cell GW þ DMFT formulation for the ab initio simulation of correlated materials

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Summary

Introduction

Computing the properties of correlated electron materials with quantitative accuracy remains a fundamental challenge in ab initio simulations [1] This challenge is because strong electron interactions, for example, in materials with open d or f shells, can lead to emergent phases such as high-temperature superconductivity, which cannot be described by the mean-field and low-order perturbation approximations commonly employed by ab initio methods. Among the different variants of quantum embedding used for this purpose, the combination of dynamical mean-field theory (DMFT) (and its cluster extensions [6,7]) and density functional theory (DFT) [8], known as DFT þ DMFT, is very popular [9,10,11] In this combination, one views DFT as a low-level theory that accounts for band

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