Adhesion and Reconstruction of Graphene/Hexagonal Boron Nitride Heterostructures: A Quantum Monte Carlo Study
Marcin Szyniszewski, Elaheh Mostaani, Angelika Knothe, Vladimir, Enaldiev, Andrea C. Ferrari, Vladimir I. Fal'ko, Neil D. Drummond

TL;DR
This study uses quantum Monte Carlo methods to accurately analyze interlayer adhesion, relaxation, and electronic properties of graphene/hBN heterostructures, revealing insights into moiré patterns, minibands, and stable layered configurations.
Contribution
It provides a quantum Monte Carlo based calculation of adhesion potentials and predicts the formation of a new stable layered crystal with unique electronic properties.
Findings
Adhesion potential well described by Lennard-Jones parameters.
Moiré pattern period depends on hBN misalignment angle.
Stable layered structure predicted for alternating graphene/hBN stacks.
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 determine 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 parameterize using our quantum Monte Carlo data. Encapsulation of graphene between near-aligned crystals of hBN gives rise to a moir\'{e} pattern whose period is determined by the misalignment angle between the hBN crystals superimposed over the moir\'{e} superlattice…
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Taxonomy
TopicsGraphene research and applications · Boron and Carbon Nanomaterials Research · Diamond and Carbon-based Materials Research
