Symmetry-Based Real-Space Framework for Realizing Flat Bands and Unveiling Nodal-Line Touchings
Rui-Heng Liu, and Xin Liu

TL;DR
This paper introduces a symmetry-based real-space framework for constructing flat bands in tight-binding models, accommodating high orbitals and spin-orbit coupling, and reveals new types of band touchings in 3D systems.
Contribution
It develops a systematic, symmetry-driven method for flat band construction in complex lattice and orbital settings, including criteria for band touchings and line degeneracies.
Findings
Constructed 2D and 3D flat band models without special lattice structures.
Demonstrated 3D flat bands with point and line touchings.
Provided a criterion for identifying band touchings in flat band systems.
Abstract
Flat band (FB) systems provide ideal playgrounds for studying correlation physics, whereas multi-orbital characteristics in real materials are distinguished from most simple FB models. Here, we propose a systematic and versatile framework for FB constructions in tight-binding (TB) models based on symmetric compact localized states (CLSs), integrating lattice and orbital degrees of freedom. We first demonstrate that any CLS can be symmetrized into a representation of the point group, which remains valid for high orbitals with finite spin-orbit coupling (SOC). Second, we determine the candidate CLS sites according to lattice symmetry, and simplify the hopping as a linear mapping between two Hilbert spaces: one of CLS sites and another of their adjacent sites. The existence of FBs depends on a non-empty kernel of the mapping. Finally, we distinguish eigenstates in the kernel to qualify as…
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.
Taxonomy
TopicsMaterial Science and Thermodynamics · Electromagnetic Scattering and Analysis · Numerical methods for differential equations
