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Controlled alignment of supermoir\'e lattice in double-aligned graphene heterostructures

Authors :
Hu, Junxiong
Tan, Junyou
Ezzi, Mohammed M. Al
Chattopadhyay, Udvas
Gou, Jian
Zheng, Yuntian
Wang, Zihao
Chen, Jiayu
Thottathil, Reshmi
Luo, Jiangbo
Watanabe, Kenji
Taniguchi, Takashi
Wee, Andrew Thye Shen
Adam, Shaffique
Ariando, Ariando
Publication Year :
2023

Abstract

The supermoir\'e lattice, built by stacking two moir\'e patterns, provides a platform for creating flat mini-bands and studying electron correlations. An ultimate challenge in assembling a graphene supermoir\'e lattice is in the deterministic control of its rotational alignment, which is made highly aleatory due to the random nature of the edge chirality and crystal symmetry of each component layer. Employing the so-called golden rule of three, here we present an experimental strategy to overcome this challenge and realize the controlled alignment of double-aligned hBN/graphene/hBN supermoir\'e lattice, where graphene is precisely aligned with both top hBN and bottom hBN. Remarkably, we find that the crystallographic edge of neighboring graphite can be used to better guide the stacking alignment, as demonstrated by the controlled production of 20 moir\'e samples with an accuracy better than 0.2 degree. Finally, we extend our technique to other strongly correlated electron systems, such as low-angle twisted bilayer graphene and ABC-stacked trilayer graphene, providing a strategy for flat-band engineering in these moir\'e materials.<br />Comment: 20 pages, 4 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2301.12124
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41467-023-39893-5