Review of the tight-binding method applicable to the properties of moiré superlattices
Xueheng Kuang, Federico Escudero, Pierre A. Pantaleón, Francisco Guinea, Zhen Zhan
TL;DR
This review surveys tight-binding TB methods for moiré superlattices, emphasizing atomistic detail, lattice relaxation, and large unit cells that challenge first-principles approaches. It covers graphene-based, TMD-based, and hBN-based moiré Hamiltonians, detailing Slater–Koster hoppings, spin–orbit coupling, interlayer couplings, and mean-field many-body extensions such as Hartree, Hartree–Fock, and Hubbard-U terms. The article also surveys computational strategies including exact diagonalization, linear-scaling random-state methods (KPM, TBPM), and machine-learning–driven TB parameterization, along with software packages that facilitate moiré TB modeling. Two illustrative examples—the graphene moiré dodecagonal quasicrystal and Rydberg moiré excitons in WSe$_2$/TBG—demonstrate the power of TB to capture both spectral features and real-space localization in large-scale systems. The work highlights how TB serves as a bridge to low-energy continuum models and guides future directions in parameterization, relaxation, and data-driven moiré materials discovery, with potential impact on quantum technologies and optoelectronics.
Abstract
Moiré superlattices have emerged as a versatile platform for exploring a wide range of ex- otic quantum phenomena. Unlike angstrom-scale materials, the moiré length-scale system contains a large number of atoms, and its electronic structure is significantly modulated by the lattice relaxation. These features pose a huge theoretical challenge. Among the available theoretical approaches, tight-binding (TB) methods are widely employed to predict the electronic, transport, and optical properties of systems such as twisted graphene, twisted transition-metal dichalcogenides (TMDs), and related moiré materials. In this review, we pro- vide a comprehensive overview of atomistic TB Hamiltonians and the numerical techniques commonly used to model graphene-based, TMD-based and hBN-based moiré superlattices. We also discuss the connection between atomistic TB descriptions and effective low-energy continuum models. Two examples of different moiré materials and geometries are provided to emphasize the advantages of the TB methods. This review is intended to serve as a theoretical and practical guide for those seeking to apply TB methods to the study of various properties of moiré superlattices.
