Deterministic fabrication of graphene hexagonal boron nitride moiré superlattices Article Swipe
Rupini Kamat
,
Aaron L. Sharpe
,
Mihir Pendharkar
,
Jenny Hu
,
Steven J. Tran
,
Gregory Zaborski
,
M. B. Hocking
,
Joe Finney
,
Kenji Watanabe
,
Takashi Taniguchi
,
M. A. Kastner
,
Andrew J. Mannix
,
Tony F. Heinz
,
David Goldhaber‐Gordon
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2405.18588
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2405.18588
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 the first 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 30 degree 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-0 degree, not 30 degree, relative twist angle. We confirm this alignment by torsional force microscopy (TFM) of the graphene/hBN moiré on an open-face stack, and then by cryogenic transport measurements, after full encapsulation with a second, non-aligned 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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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2405.18588
- https://arxiv.org/pdf/2405.18588
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399197926
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4399197926Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2405.18588Digital Object Identifier
- Title
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Deterministic fabrication of graphene hexagonal boron nitride moiré superlatticesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
- Publication date
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2024-05-28Full publication date if available
- Authors
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Rupini Kamat, Aaron L. Sharpe, Mihir Pendharkar, Jenny Hu, Steven J. Tran, Gregory Zaborski, M. B. Hocking, Joe Finney, Kenji Watanabe, Takashi Taniguchi, M. A. Kastner, Andrew J. Mannix, Tony F. Heinz, David Goldhaber‐GordonList of authors in order
- Landing page
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https://arxiv.org/abs/2405.18588Publisher landing page
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https://arxiv.org/pdf/2405.18588Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2405.18588Direct OA link when available
- Concepts
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Graphene, Superlattice, Fabrication, Moiré pattern, Materials science, Hexagonal crystal system, Hexagonal boron nitride, Boron nitride, Nanotechnology, Nitride, Optoelectronics, Optics, Crystallography, Physics, Chemistry, Pathology, Medicine, Layer (electronics), Alternative medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2405.18588 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2405.18588 |
| publication_date | 2024-05-28 |
| publication_year | 2024 |
| referenced_works_count | 0 |
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