{"title":"Evolution of flat bands in MoSe$_2$/WSe$_2$ moiré lattices: A study combining machine learning and band unfolding methods","authors":"Shengguo Yang, Jiaxin Chen, Chao-Fei Liu, Mingxing Chen","doi":"arxiv-2409.07987","DOIUrl":null,"url":null,"abstract":"Moir\\'e lattices have served as the ideal quantum simulation platform for\nexploring novel physics due to the flat electronic bands resulting from the\nlong wavelength moir\\'e potentials. However, the large sizes of this type of\nsystem challenge the first-principles methods for full calculations of their\nelectronic structures, thus bringing difficulties in understanding the nature\nand evolution of the flat bands. In this study, we investigate the electronic\nstructures of moir\\'e patterns of MoSe$_2$/WSe$_2$ by combining ab initio and\nmachine learning methods. We find that a flat band with a bandwidth of about 5\nmeV emerges below the valence band edge at the K point for the H-stacking at a\ntwist angle of 3.89$^{\\circ}$. Then, it shifts dramatically as the twist angle\ndecreases and becomes about 20 meV higher than the valence band maximum for the\ntwist angle of 3.15$^{\\circ}$. Multiple ultra-flat bands emerge as the twist\nangle is reduced to 1.7$^{\\circ}$. Band unfolding reveals that the ultra-flat\nbands formed by the $\\Gamma$ and K valleys show distinct behaviors. The\n$\\Gamma$-valley flat bands are sensitive to the interlayer coupling, thus\nexperiencing dramatic changes as the twist angle decreases. In contrast, the\nK-valley flat band, which shows a weak dependence on the interlayer coupling,\nis mainly modulated by the long wavelength moir\\'e potential. Therefore, a\nrelatively small angle (2.13$^{\\circ}$) is required to generate the K-valley\nflat band, which experiences a transition from the honeycomb to the triangular\nlattice as the twist angle decreases.","PeriodicalId":501234,"journal":{"name":"arXiv - PHYS - Materials Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Materials Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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$_2$/WSe$_2$ 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$^{\circ}$. Then, it shifts dramatically as the twist angle
decreases and becomes about 20 meV higher than the valence band maximum for the
twist angle of 3.15$^{\circ}$. Multiple ultra-flat bands emerge as the twist
angle is reduced to 1.7$^{\circ}$. Band unfolding reveals that the ultra-flat
bands formed by the $\Gamma$ and K valleys show distinct behaviors. The
$\Gamma$-valley flat bands are sensitive to the interlayer coupling, thus
experiencing dramatic changes as the twist angle decreases. In contrast, the
K-valley flat band, which shows a weak dependence on the interlayer coupling,
is mainly modulated by the long wavelength moir\'e potential. Therefore, a
relatively small angle (2.13$^{\circ}$) is required to generate the K-valley
flat band, which experiences a transition from the honeycomb to the triangular
lattice as the twist angle decreases.