Suppr超能文献

大面积少层二硫化钼纳米条纹光栅中的超宽带光子捕获

Ultra-broadband photon harvesting in large-area few-layer MoS nanostripe gratings.

作者信息

Bhatnagar Mukul, Giordano Maria Caterina, Mennucci Carlo, Chowdhury Debasree, Mazzanti Andrea, Della Valle Giuseppe, Martella Christian, Tummala Pinakapani, Lamperti Alessio, Molle Alessandro, Buatier de Mongeot Francesco

机构信息

Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy.

出版信息

Nanoscale. 2020 Dec 23;12(48):24385-24393. doi: 10.1039/d0nr06744j.

Abstract

Flat optics nanoarrays based on few-layer MoS2 are homogeneously fabricated over large-area (cm2) transparent templates, demonstrating effective tailoring of the photon absorption in two-dimensional (2D) transition-metal dichalcogenide (TMD) layers. The subwavelength subtractive re-shaping of the few-layer MoS2 film into a one-dimensional (1D) nanostripe array results in a pronounced photonic anomaly, tunable in a broadband spectral range by simply changing the illumination conditions (or the lattice periodicity). This scheme promotes efficient coupling of light to the 2D TMD layers via resonant interaction between the MoS2 excitons and the photonic lattice, with subsequent enhancement of absorption exceeding 400% relative to the flat layer. In parallel, an ultra-broadband absorption amplification in the whole visible spectrum is achieved, thanks to the non-resonant excitation of substrate guided modes promoted by MoS2 nanoarrays. These results highlight the potential of nanoscale re-shaped 2D TMD layers for large-area photon harvesting in layered nanophotonics, quantum technologies and new-generation photovoltaics.

摘要

基于几层二硫化钼的平面光学纳米阵列在大面积(平方厘米)透明模板上均匀制备,展示了二维(2D)过渡金属二硫属化物(TMD)层中光子吸收的有效调控。将几层二硫化钼薄膜进行亚波长减法重塑,形成一维(1D)纳米条纹阵列,会产生明显的光子异常现象,通过简单改变光照条件(或晶格周期性),可在宽带光谱范围内进行调节。该方案通过二硫化钼激子与光子晶格之间的共振相互作用,促进光与二维TMD层的高效耦合,随后吸收增强相对于平面层超过400%。同时,由于二硫化钼纳米阵列促进了衬底导模的非共振激发,在整个可见光谱范围内实现了超宽带吸收放大。这些结果突出了纳米级重塑二维TMD层在层状纳米光子学、量子技术和新一代光伏领域大面积光子收集方面的潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验