Adhesion and Reconstruction of Graphene/Hexagonal Boron Nitride Heterostructures : A Quantum Monte Carlo Study

Szyniszewski, Marcin and Mostaani, Elaheh and Knothe, Angelika and Enaldiev, Vladimir and Ferrari, A.C and Fal'ko, V. I. and Drummond, Neil (2025) Adhesion and Reconstruction of Graphene/Hexagonal Boron Nitride Heterostructures : A Quantum Monte Carlo Study. ACS Nano, 19 (6). pp. 6014-6020. ISSN 1936-0851

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Abstract

We investigate interlayer adhesion and relaxation at interfaces between graphene and hexagonal boron nitride (hBN) monolayers in van der Waals heterostructures. The adhesion potential between graphene and hBN is calculated as a function of local lattice offset using diffusion quantum Monte Carlo methods, which provide an accurate treatment of van der Waals interactions. Combining the adhesion potential with elasticity theory, we determined the relaxed structures of graphene and hBN layers at interfaces, finding no metastable structures. The adhesion potential is well described by simple Lennard–Jones pair potentials that we parametrize using our quantum Monte Carlo data. Encapsulation of graphene between near-aligned crystals of hBN gives rise to a moiré pattern whose period is determined by the misalignment angle between the hBN crystals superimposed over the moiré superlattice previously studied in graphene on an hBN substrate. We model minibands in such supermoiré superlattices and find them to be sensitive to the 180° rotation of one of the encapsulating hBN crystals. We find that monolayer and bilayer graphene placed on a bulk hBN substrate and bulk hBN/graphene/bulk hBN systems do not relax to adopt a common lattice constant. The energetic balance is much closer for free-standing monolayer graphene/hBN bilayers and hBN/graphene/hBN trilayers. The layers in an alternating stack of graphene and hBN are predicted to strain to adopt a common lattice constant, and hence, we obtain a stable three-dimensional crystal with a distinct electronic structure.

Item Type:
Journal Article
Journal or Publication Title:
ACS Nano
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? no - not fundedphysics and astronomy(all)materials science(all)engineering(all) ??
ID Code:
227502
Deposited By:
Deposited On:
10 Feb 2025 10:40
Refereed?:
Yes
Published?:
Published
Last Modified:
13 Mar 2025 03:01