Controlled alignment of supermoir\'e lattice in double-aligned graphene heterostructures
Junxiong Hu, Junyou Tan, Mohammed M. Al Ezzi, Udvas Chattopadhyay,, Jian Gou, Yuntian Zheng, Zihao Wang, Jiayu Chen, Reshmi Thottathil, Jiangbo, Luo, Kenji Watanabe, Takashi Taniguchi, Andrew Thye Shen Wee, Shaffique Adam,, Ariando Ariando

TL;DR
This paper presents an experimental method to precisely control the rotational alignment of supermoiré lattices in graphene heterostructures, enabling better flat-band engineering and study of electron correlations.
Contribution
The authors develop a strategy using the crystallographic edge of graphite to achieve deterministic alignment of double-aligned graphene supermoiré lattices with high precision.
Findings
Achieved alignment accuracy better than 0.2 degrees in 20 samples.
Demonstrated controlled production of supermoiré lattices.
Extended the technique to other moiré systems like twisted bilayer graphene.
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…
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Taxonomy
TopicsGraphene research and applications · Quantum and electron transport phenomena · 2D Materials and Applications
