4.6 Article

3D Nanoarchitectured Hexagonal Boron Nitride with Integrated Single Photon Emitters

期刊

ADVANCED OPTICAL MATERIALS
卷 -, 期 -, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adom.202300737

关键词

2D materials; 3D chemical vapor deposition; gyroid minimal surface; hexagonal boron nitride; single photon emitters

向作者/读者索取更多资源

A three-dimensional nanoarchitectured hexagonal boron nitride (hBN) is developed with integrated single photon emitters (SPEs) generated from native defects. The structure consists of a continuous 2D hBN sheet with built-in convex and concave curvatures, promoting the formation of optically active and thermally stable defects. The 3D hBN eliminates substrate disturbance and minimizes lattice strain heterogeneity, resulting in narrow spectral distribution of SPEs.
Two-dimensional (2D) hexagonal boron nitride (hBN) is one of the most promising candidates to host solid-state single photon emitters (SPEs) for various quantum technologies. However, the 2D nature with an atomic-scale thickness leads to inevitable challenges in spectral variability caused by substrate disturbance, lattice strain heterogeneity, and defect variation. Here, three-dimensional (3D) nanoarchitectured hBN is reported with integrated SPEs from native defects generated during high-temperature chemical vapor deposition (CVD). The 3D hBN has a quasi-periodic gyroid minimal surface structure and is composed of a continuous 2D hBN sheet with built-in convex and concave curvatures that promote the formation of optically active and thermally robust native defects. The free-standing feature of the gyroid hBN with a nearly zero mean curvature can effectively eliminate the substrate disturbance and minimize lattice strain heterogeneity. As a result, naturally occurring defects with a narrow SPE spectral distribution can be created and activated as color centers in the 3D hBN, and the density of the SPEs can be tailored by CVD temperature.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据