Evolution of flat bands in MoSe$_2$/WSe$_2$ moir\'e lattices: A study combining machine learning and band unfolding methods
Shengguo Yang, Jiaxin Chen, Chao-Fei Liu, and Mingxing Chen

TL;DR
This study investigates the evolution of flat electronic bands in MoSe$_2$/WSe$_2$ moiré lattices using a combination of ab initio calculations and machine learning, revealing how twist angle and spin-orbit coupling influence flat band properties.
Contribution
It introduces a novel approach combining machine learning with band unfolding to analyze large moiré systems, providing new insights into flat band evolution and valley-specific behaviors.
Findings
Flat bands emerge at specific twist angles with energies around 5 meV and 20 meV.
Spin-orbit coupling causes a giant spin splitting (~0.45 eV) independent of twist angle.
Distinct behaviors of $\Gamma$ and K valley flat bands are revealed through band unfolding.
Abstract
Moir\'e lattices have served as the ideal quantum simulation platform for exploring novel physics due to the flat electronic bands resulting from the long wavelength moir\'e potentials. However, the large sizes of this type of system challenge the first-principles methods for full calculations of their electronic structures, thus bringing difficulties in understanding the nature and evolution of the flat bands. In this study, we investigate the electronic structures of moir\'e patterns of MoSe/WSe by combining ab initio and machine learning methods. We find that a flat band with a bandwidth of about 5 meV emerges below the valence band edge at the K point for the H-stacking at a twist angle of 3.89 without spin-orbit coupling effect. Then, it shifts dramatically as the twist angle decreases and becomes about 20 meV higher than the valence band maximum for the twist…
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