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Hexagonal boron nitride is a wide bandgap semiconductor with a very high thermal and chemical stability often used in devices operating under extreme conditions. The growth of high-purity crystals has recently revealed the potential of this…

Materials Science · Physics 2016-05-04 G. Cassabois , P. Valvin , B. Gil

Cathodoluminescence (CL) experiments at low temperature have been undertaken on various bulk and exfoliated hexagonal boron nitride (hBN) samples. Different bulk crystals grown from different synthesis methods have been studied. All of them…

Stacking mismatches in hexagonal boron nitride (h-BN) nanostructures affect their photonic, mechanical, and thermal properties. To access information about the stacked configuration of layered ensembles, highly sophisticated techniques like…

Materials Science · Physics 2021-03-03 Luigi Cigarini , Michal Novotný , František Karlický

Optical contrast is the most common preliminary method to identify layer number of two-dimensional (2D) materials, but is seldom used as a confirmatory technique. We explain the reason for variation of optical contrast between imaging…

Optics · Physics 2022-09-12 Mainak Mondal , Ajit Kumar Dash , Akshay Singh

Hexagonal boron nitride (h-BN) is a two dimensional (2D) layered insulator with superior dielectric performance that offers excellent interaction with other 2D materials (e.g. graphene, MoS2). Large-area h-BN can be readily grown on…

Hexagonal boron nitride (h-BN) nanomesh, a two-dimensional insulating monolayer, grown on the (111) surface of rhodium exhibits an intriguing hexagonal corrugation pattern with a lattice constant of 3.2 nm. Despite numerous experimental and…

Materials Science · Physics 2020-08-19 Luis Henrique de Lima , Thomas Greber , Matthias Muntwiler

We demonstrate the fabrication of individual nanopores in hexagonal boron nitride (hBN) with atomically precise control of the pore size. Previous methods of pore production in other 2D materials create pores of irregular geometry with…

Materials Science · Physics 2017-02-07 S. Matt Gilbert , Gabriel Dunn , Thang Pham , Brian Shevitski , Edgar Dimitrov , Shaul Aloni , Alex Zettl

Among a variety of layered materials used as building blocks in van der Waals heterostructures, hexagonal boron nitride (hBN) appears as an ideal platform for hosting optically-active defects owing to its large bandgap ($\sim 6$ eV). Here…

Materials Science · Physics 2016-09-28 L. J. Martínez , T. Pelini , V. Waselowski , J. R. Maze , B. Gil , G. Cassabois , V. Jacques

Atomically thin boron nitride (BN) nanosheets are important two-dimensional nanomaterials with many unique properties distinct from those of graphene, but the investigation of their mechanical properties still greatly lacks. Here we report…

Hexagonal boron nitride (h-BN) has attracted significant attention due to its superior properties as well as its potential as an ideal dielectric layer for graphene-based devices. The h-BN films obtained via chemical vapor deposition in…

Materials Science · Physics 2015-03-11 Guangyuan Lu , Tianru Wu , Qinghong Yuan , Huishan Wang , Haomin Wang , Feng Ding , Xiaoming Xie , Mianheng Jiang

Hexagonal boron nitride (h-BN) is deposited on Si <100> wafer ($\approx$20 cm2) via Plasma Enhanced Chemical Vapor Deposition (PECVD) using a ns-pulsed N2/Ar Micro Hollow Cathode Discharge (MHCD) as a microplasma source. For the first time,…

Optical imaging beyond the diffraction limit was one of the primary motivations for negative-index metamaterials, resulting in Pendry's perfect lens and the more attainable superlens. While these approaches offer sub-diffractional…

The influence of triaxial in-plane strain on the electronic properties of a hexagonal boron-nitride sheet is investigated using density functional theory. Different from graphene, the triaxial strain localizes the molecular orbitals of the…

Mesoscale and Nanoscale Physics · Physics 2013-09-13 M. Neek-Amal , J. Beheshtian , A. Sadeghi , K. H. Michel , F. M. Peeters

The detection and classification of exfoliated two-dimensional (2D) material flakes from optical microscope images can be automated using computer vision algorithms. This has the potential to increase the accuracy and objectivity of…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Jan-Lucas Uslu , Alexey Nekrasov , Alexander Hermans , Bernd Beschoten , Bastian Leibe , Lutz Waldecker , Christoph Stampfer

The production of high-quality two-dimensional (2D) materials is essential for the ultimate performance of single layers and their hybrids. Hexagonal boron nitride (h-BN) is foreseen to become the key 2D hybrid and packaging material since…

Evaluation of the defect levels in low-dimensional materials is an important aspect of quantum science. In this article, we report a facile synthesis method of hexagonal boron nitride (h-BN) and evaluate the defects and their light emission…

Mesoscale and Nanoscale Physics · Physics 2022-03-30 Ashly Sunny , Aniket Balapure , Ramakrishnan Ganesan , R. Thamankar

Hexagonal boron nitride (hBN) has emerged as a promising material platform for nanophotonics and quantum sensing, hosting optically-active defects with exceptional properties such as high brightness and large spectral tuning. However,…

Optical antennas made out of materials with hyperbolic dispersion is an alternative approach to realizing efficient subwavelength scatterers and may overcome limitations imposed by plasmonic and all-dielectric designs. Recently emerged…

Optics · Physics 2018-10-04 Viktoriia E. Babicheva

The integration of membranes into optical resonators plays a key role in a variety of applications, including optomechanics. If such membranes host atom-like systems, ideally with access to spin states, new roads in quantum photonics and…

Optics · Physics 2025-09-03 Patrick Maier , Alexander Kubanek

Determination of the chemical and spectroscopic natures of defects in materials such as hexagonal boron nitride (h-BN) remains a serious challenge for both experiment and theory. To establish basics needs for reliable calculations, we…

Materials Science · Physics 2021-02-16 Jeffrey R. Reimers , A. Sajid , Rika Kobayashi , Michael J. Ford
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