The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Growth of Large Single-Crystalline Two-Dimensional Boron Nitride Hexagons on Electropolished Copper
Open accessAbstract
Hexagonal-boron nitride (h-BN) or "white graphene" has many outstanding properties including high thermal conductivity, high mechanical strength, chemical inertness, and high electrical resistance, which open up a wide range of applications such as thermal interface material, protective coatings, and dielectric in nanoelectronics that easily exceed the current advertised benefits pertaining to the graphene-based applications. The development of h-BN films using chemical vapor deposition (CVD) has thus far led into nucleation of triangular or asymmetric diamond shapes on different metallic surfaces. Additionally, the average size of the triangular domains has remained relatively small (∼ 0.5 μm(2)) leading to a large number of grain boundaries and defects. While the morphology of Cu surfaces for CVD-grown graphene may have impacts on the nucleation density, domain sizes, thickness, and uniformity, the effects of the decreased roughness of Cu surface to develop h-BN films are unknown. Here, we report the growth and characterization of novel large area h-BN hexagons using highly electropolished Cu substrate under atmospheric pressure CVD conditions. We found that the nucleation density of h-BN is significantly reduced while domain sizes increase. In this study, the largest hexagonal-shape h-BN domain observed is 35 μm(2), which is an order of magnitude larger than a typical triangular domain. As the domains coalesce to form a continuous film, the larger grain size offers a more pristine and smoother film with lesser grain boundaries induced defects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Cited by
Structure, Properties and Applications of Two‐Dimensional Hexagonal Boron Nitride
Roy, S., Zhang, X., Puthirath, A. B., Meiyazhagan, A., Bhattacharyya, S., Rahman, M. M., Babu, G., Susarla, S., Saju, S. K., Tran, M. K., et al. (2021) · Advanced Materials · doi:10.1002/adma.202101589 · Cited by 871
Zeng, M., Xiao, Y., Liu, J., Yang, K., & Fu, L. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00633 · Cited by 574
Two-dimensional heterostructures: fabrication, characterization, and application
Wang, H., Liu, F., Fu, W., Fang, Z., Zhou, W., & Liu, Z. (2014) · Nanoscale · doi:10.1039/c4nr03435j · Cited by 403
Synthesis of large single-crystal hexagonal boron nitride grains on Cu–Ni alloy
Lu, G., Wu, T., Yuan, Q., Wang, H., Wang, H., Ding, F., Xie, X., & Jiang, M. (2015) · Nature Communications · doi:10.1038/ncomms7160 · Cited by 377
Metadata
- Authors
- Tay, R. Y., Griep, M. H., Mallick, G., Tsang, S. H., Singh, R. S., Tumlin, T., Teo, E. H. T., & Karna, S. P.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-01-23
- Volume
- 14
- Issue
- 2
- Pages
- 839-846
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2020708137
- Cited by
- 321
- References
- 1
- FWCI
- 17.57
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.