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Hexagonal boron nitride (hBN) is a wide bandgap van der Waals material that has recently emerged as promising platform for quantum photonics experiments. In this work we study the formation and localization of narrowband quantum emitters in…

Hexagonal boron nitride (h-BN) is a promising two-dimensional insulator with a large band gap and low density of charged impurities that is isostructural and isoelectronic with graphene. Here we report the chemical and atomic-scale…

Hexagonal boron nitride is an emerging two-dimensional material with far-reaching applications in fields like nanophotonics or nanomechanics. Its layered architecture plays a key role for new materials such as Van der Waals…

Quantum Physics · Physics 2022-02-01 Alexander Kubanek

The stacking orders in layered hexagonal boron nitride bulk and bilayers are studied using high-level ab initio theory (local second-order Moller-Plesset perturbation theory, LMP2). Our results show that both electrostatic and London…

Materials Science · Physics 2015-06-16 Gabriel Constantinescu , Agnieszka Kuc , Thomas Heine

Hexagonal boron nitride (h-BN) is a tantalizing material for solid-state quantum engineering. Analogously to three-dimensional wide-bandgap semiconductors like diamond, h-BN hosts isolated defects exhibiting visible fluorescence, and the…

Mesoscale and Nanoscale Physics · Physics 2018-04-30 Annemarie L. Exarhos , David A. Hopper , Richard R. Grote , Audrius Alkauskas , Lee C. Bassett

This study explores the world of across-layer sliding ferroelectricity in multilayer hexagonal boron nitride (hBN) and gallium nitride (hGaN), aiming to control out-of-plane polarization. By investigating the effects of sliding single or…

Materials Science · Physics 2025-04-08 Sanber Vizcaya , Felipe Perez Riffo , Juan M. Florez , Eric Súarez Morell

Hexagonal boron nitride (h-BN) is unique among two-dimensional materials, with a large band gap (~6 eV) and high thermal conductivity (>400 W/m/K), second only to diamond among electrical insulators. Most electronic studies to date have…

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

Monolayer MnO$_2$ is one of the few predicted two-dimensional (2D) ferromagnets that has been experimentally synthesized and is commercially available. The Mermin-Wagner theorem states that magnetic order in a 2D material cannot persist…

Strongly Correlated Electrons · Physics 2022-03-28 Daniel Wines , Kayahan Saritas , Can Ataca

Improving the film quality in the synthesis of large-area hexagonal boron nitride films (h-BN) for two-dimensional material devices remains a great challenge. The measurement of electrical breakdown dielectric strength (EBD) is one of the…

Materials Science · Physics 2017-01-04 Yoshiaki Hattori , Takashi Taniguchi , Kenji Watanabe , Kosuke Nagashio

Diffusion Monte Carlo (DMC) is an exact technique to project out the ground state (GS) of a Hamiltonian. Since the GS is always bosonic, in fermionic systems the projection needs to be carried out while imposing anti-symmetric constraints,…

Computational Physics · Physics 2025-01-08 Kousuke Nakano , Sandro Sorella , Dario Alfè , Andrea Zen

We model monolayer graphene-like materials with BC$_6$N stoichiometry where the bonding between the B and the N atoms plays an important role for their physical and chemical properties. Two types of BC$_6$N are found based on the BN bonds:…

Mesoscale and Nanoscale Physics · Physics 2020-08-26 Nzar Rauf Abdullah , Hunar Omar Rashid , Chi-Shung Tang , Andrei Manolescu , Vidar Gudmundsson

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…

From monolayers composed of different atoms, we can build structures with spontaneous vertical polarization by conveniently stacking multiple layers. We have studied, using first-principles methods and based on modern polarization theory, a…

Materials Science · Physics 2023-02-24 Emilio A. Cortés , Juan M. Florez , Eric Suárez Morell

Recent technical advances in dealing with finite-size errors make quantum Monte Carlo methods quite appealing for treating extended systems in electronic structure calculations, especially when commonly-used density functional theory (DFT)…

Materials Science · Physics 2016-10-06 Kyle G. Reeves , Yi Yao , Yosuke Kanai

We investigate the thermodynamic properties of a trappoed Bose gas of Rb atoms interacting through a repulsive potential by Quantum Monte Carlo method based upon the generalization of Feynman-Kac method[1] applicable to many body systems at…

Statistical Mechanics · Physics 2007-07-31 S Datta

Thin films of binary mixtures that interact through isotropic forces and directionally specific "hydrogen bonding" are considered through Monte Carlo simulations. We show, in good agreement with experiment, that the single phase of these…

Soft Condensed Matter · Physics 2009-10-30 Michael Kotelyanskii , Sanat K. Kumar

Variational Monte-Carlo calculations are carried out for ${_{\Lambda\Lambda}^4}H$ to explore on the possibility of its existence, using realistic NN, NNN, and phenomenological {\Lambda}N and {\Lambda}NN interactions. We also perform…

Nuclear Theory · Physics 2025-02-27 Bhupali Sharma

Two-dimensional (2D) transition metal dichalcogenides (TMDCs) are the subject of intense investigation for applications in optics, electronics, catalysis, and energy storage. Their optical and electronic properties can be significantly…

Semiflexible polymers are widely used as a paradigm for understanding structural phases in biomolecules including folding of proteins. Here, we compare bead-spring and bead-stick variants of coarse-grained semiflexible polymer models that…

Soft Condensed Matter · Physics 2024-02-16 Wolfhard Janke , Suman Majumder , Martin Marenz , Subhajit Paul
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