General Many-Body Perturbation Framework for Moiré Systems
Xin Lu, Yuanfan Yang, Zhongqing Guo, Jianpeng Liu
TL;DR
The study tackles the limitations of Hartree-Fock in moiré systems by introducing a general many-body perturbation framework that adds dynamical screening via $E_c^{\text{RPA}}$ and $\Sigma^{GW}$ corrections to all-band HF in a continuum moiré model. Applying it to $R5G$-$hBN$ and magic-angle TBG, the approach reveals a phase diagram and single-particle spectra that align quantitatively with experiments, attributing improvements to high-energy remote bands and inhomogeneous screening. GW corrections yield reduced gaps and bandwidths and quasiparticle weights near unity, validating the use of (nearly) mean-field starting points for integer fillings while capturing beyond-HF physics. The framework, which relies on a single static dielectric constant as the main fitting parameter, provides a scalable, largely ab initio method for systematic beyond-mean-field studies of generic moiré superlattices.
Abstract
Moiré superlattices host a rich variety of correlated topological states, including interaction-driven integer and fractional Chern insulators. A common approach to study interacting ground states at integer fillings is the Hartree-Fock mean-field method. However, this method neglects dynamical correlations, which often leads to an overestimation of spontaneous symmetry breaking and fails to provide quantitative descriptions of single-particle excitations. This work introduces a general many-body perturbation framework for moiré systems, combining all-band Hartree-Fock calculations with random phase approximation (RPA) correlation energies and $GW$ quasiparticle corrections. We apply this framework to hexagonal boron nitride aligned rhombohedral pentalayer graphene and magic-angle twisted bilayer graphene. We show that incorporating RPA correlation energy and $GW$ self-energy corrections yields phase diagrams and single-particle spectra that quantitatively align with experimental measurements. Our versatile framework provides a systematic beyond-mean-field approach applicable to generic moiré systems.
