Graphene-hBN interlayer interactions from quantum Monte Carlo

Fuente: arXiv
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Auteurs principaux: Krongchon, Kittithat, Rakib, Tawfiqur, Palmer, Daniel, Ertekin, Elif, Johnson, Harley T., Wagner, Lucas K.
Format: Preprint
Publié: 2025
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author Krongchon, Kittithat
Rakib, Tawfiqur
Palmer, Daniel
Ertekin, Elif
Johnson, Harley T.
Wagner, Lucas K.
author_facet Krongchon, Kittithat
Rakib, Tawfiqur
Palmer, Daniel
Ertekin, Elif
Johnson, Harley T.
Wagner, Lucas K.
contents The interaction between graphene and hexagonal boron nitride (hBN) plays a pivotal role in determining the electronic and structural properties of graphene-based devices. In this work, we employ quantum Monte Carlo (QMC) to study the interlayer interactions and stacking-fault energy (SFE) between graphene and hBN. We generated QMC energies for several rigid bilayer stacking configurations and fitted these data to the Kolmogorov-Crespi type interlayer potential (ILP) model. Our QMC-derived potential offers a more reliable alternative to conventional density functional theory methods, which are prone to errors in predicting properties in van der Waals materials. This study enables highly accurate predictions of structural and electronic properties in graphene hBN heterostructures. The resulting ILP-QMC potential is made available for further use in simulating complex systems, such as twisted bilayer graphene (TBG) on hBN.
format Preprint
id arxiv_https___arxiv_org_abs_2503_13672
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Graphene-hBN interlayer interactions from quantum Monte Carlo
Krongchon, Kittithat
Rakib, Tawfiqur
Palmer, Daniel
Ertekin, Elif
Johnson, Harley T.
Wagner, Lucas K.
Materials Science
The interaction between graphene and hexagonal boron nitride (hBN) plays a pivotal role in determining the electronic and structural properties of graphene-based devices. In this work, we employ quantum Monte Carlo (QMC) to study the interlayer interactions and stacking-fault energy (SFE) between graphene and hBN. We generated QMC energies for several rigid bilayer stacking configurations and fitted these data to the Kolmogorov-Crespi type interlayer potential (ILP) model. Our QMC-derived potential offers a more reliable alternative to conventional density functional theory methods, which are prone to errors in predicting properties in van der Waals materials. This study enables highly accurate predictions of structural and electronic properties in graphene hBN heterostructures. The resulting ILP-QMC potential is made available for further use in simulating complex systems, such as twisted bilayer graphene (TBG) on hBN.
title Graphene-hBN interlayer interactions from quantum Monte Carlo
topic Materials Science
url https://arxiv.org/abs/2503.13672