Mean-field Modelling of Moir\'e Materials: A User's Guide with Selected Applications to Twisted Bilayer Graphene
Yves H. Kwan, Ziwei Wang, Glenn Wagner, Nick Bultinck, Steven H. Simon, Siddharth A. Parameswaran

TL;DR
This paper provides a comprehensive review of mean-field theoretical modeling of moiré materials, especially twisted bilayer graphene, including applications to ground states, collective excitations, and domain wall energetics, with practical guidance and open-source tools.
Contribution
It offers a detailed guide to mean-field modeling of moiré materials, illustrating its application to twisted bilayer graphene and introducing new case studies and computational approaches.
Findings
Mean-field theory captures ground states in the chiral-flat limit.
Incommensurate Kekulé spiral order arises from heterostrain effects.
Mean-field methods can analyze domain walls in Chern insulators.
Abstract
We review the theoretical modelling of moir\'e materials, focusing on various aspects of magic-angle twisted bilayer graphene (MA-TBG) viewed through the lens of Hartree-Fock mean-field theory. We first provide an elementary introduction to the continuum modelling of moir\'e bandstructures, and explain how interactions are incorporated to study correlated states. We then discuss how to implement mean-field simulations of ground state structure and collective excitations in this setting. With this background established, we rationalize the power of mean-field approximations in MA-TBG, by discussing the idealized "chiral-flat" strong-coupling limit, in which ground states at electron densities commensurate with the moir\'e superlattice are exactly captured by mean-field ans\"atze. We then illustrate the phenomenological shortcomings of this limit, leading us naturally into a discussion of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
