Deterministic fabrication of graphene hexagonal boron nitride moiré superlattices

The electronic properties of moiré heterostructures depend sensitively on the relative orientation between layers of the stack. For example, near-magic-angle twisted bilayer graphene (TBG) commonly shows superconductivity, yet a TBG sample with one of the graphene layers rotationally aligned to a hexagonal Boron Nitride (hBN) cladding layer provided experimental observation of orbital ferromagnetism. To create samples with aligned graphene/hBN, researchers often align edges of exfoliated flakes that appear straight in optical micrographs. However, graphene or hBN can cleave along either zig-zag or armchair lattice directions, introducing a [Formula: see text] ambiguity in the relative orientation of two flakes. By characterizing the crystal lattice orientation of exfoliated flakes prior to stacking using Raman and second-harmonic generation for graphene and hBN, respectively, we unambiguously align monolayer graphene to hBN at a near-[Formula: see text], not [Formula: see text], relative twist angle. We confirm this alignment by torsional force microscopy of the graphene/hBN moiré on an open-face stack, and then by cryogenic transport measurements, after full encapsulation with a second, nonaligned hBN layer. This work demonstrates a key step toward systematically exploring the effects of the relative twist angle between dissimilar materials within moiré heterostructures.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-09-27
DOI
https://doi.org/10.1073/pnas.2410993121
Citations
7
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.82

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article

Deterministic fabrication of graphene hexagonal boron nitride moiré superlattices

Joe Finney, M. A. Kastner, Gregory Zaborski, Takashi Taniguchi et al.
7 citations
Proceedings of the National Academy of Sciences
Graphene research and applications
0.82
article

Deterministic fabrication of graphene hexagonal boron nitride moiré superlattices

Joe Finney, M. A. Kastner, Gregory Zaborski, Takashi Taniguchi, Kenji Watanabe, David Goldhaber‐Gordon, Jenny Hu, Andrew J. Mannix, M. B. Hocking, Aaron L. Sharpe, Tony F. Heinz, Mihir Pendharkar, Steven J. Tran, Rupini Kamat
article en
7 citations

Abstract

The electronic properties of moiré heterostructures depend sensitively on the relative orientation between layers of the stack. For example, near-magic-angle twisted bilayer graphene (TBG) commonly shows superconductivity, yet a TBG sample with one of the graphene layers rotationally aligned to a hexagonal Boron Nitride (hBN) cladding layer provided experimental observation of orbital ferromagnetism. To create samples with aligned graphene/hBN, researchers often align edges of exfoliated flakes that appear straight in optical micrographs. However, graphene or hBN can cleave along either zig-zag or armchair lattice directions, introducing a [Formula: see text] ambiguity in the relative orientation of two flakes. By characterizing the crystal lattice orientation of exfoliated flakes prior to stacking using Raman and second-harmonic generation for graphene and hBN, respectively, we unambiguously align monolayer graphene to hBN at a near-[Formula: see text], not [Formula: see text], relative twist angle. We confirm this alignment by torsional force microscopy of the graphene/hBN moiré on an open-face stack, and then by cryogenic transport measurements, after full encapsulation with a second, nonaligned hBN layer. This work demonstrates a key step toward systematically exploring the effects of the relative twist angle between dissimilar materials within moiré heterostructures.

Proceedings of the National Academy of SciencesVol. 121(40)
National Institute for Materials Science (JP), SLAC National Accelerator Laboratory (US), Massachusetts Institute of Technology (US), Stanford University (US)
National Science Foundation, Gordon and Betty Moore Foundation, Office of Science
Openalex Percentile: Top 26%
Graphene research and applications
0.82
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