Suppr超能文献

利用耦合等离子体纳米粒子阵列实现光阻抗匹配。

Optical impedance matching using coupled plasmonic nanoparticle arrays.

机构信息

Center for Nanophotonics, FOM-Institute AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands.

出版信息

Nano Lett. 2011 Apr 13;11(4):1760-5. doi: 10.1021/nl200321u. Epub 2011 Mar 16.

Abstract

Silver nanoparticle arrays placed on top of a high-refractive index substrate enhance the coupling of light into the substrate over a broad spectral range. We perform a systematic numerical and experimental study of the light incoupling by arrays of Ag nanoparticle arrays in order to achieve the best impedance matching between light propagating in air and in the substrate. We identify the parameters that determine the incoupling efficiency, including the effect of Fano resonances in the scattering, interparticle coupling, as well as resonance shifts due to variations in the near-field coupling to the substrate and spacer layer. The optimal configuration studied is a square array of 200 nm wide, 125 nm high spheroidal Ag particles, at a pitch of 450 nm on a 50 nm thick Si(3)N(4) spacer layer on a Si substrate. When integrated over the AM1.5 solar spectral range from 300 to 1100 nm, this particle array shows 50% enhanced incoupling compared to a bare Si wafer, 8% higher than a standard interference antireflection coating. Experimental data show that the enhancement occurs mostly in the spectral range near the Si band gap. This study opens new perspectives for antireflection coating applications in optical devices and for light management in Si solar cells.

摘要

置于高折射率衬底上的银纳米粒子阵列能在宽光谱范围内增强光向衬底的耦合。为了在空气中传播的光和在衬底中传播的光之间实现最佳的阻抗匹配,我们对银纳米粒子阵列的光耦合进行了系统的数值和实验研究。我们确定了决定耦合效率的参数,包括散射中的 Fano 共振、粒子间耦合以及由于近场与衬底和间隔层耦合的变化引起的共振位移的影响。研究的最佳配置是在 Si 衬底上的 50nm 厚的 Si3N4 间隔层上,具有 200nm 宽、125nm 高的球形 Ag 粒子的正方形阵列,其间距为 450nm。当在 300nm 至 1100nm 的 AM1.5 太阳光谱范围内进行积分时,与裸 Si 晶片相比,这种粒子阵列显示出 50%的增强耦合,比标准的干涉抗反射涂层高 8%。实验数据表明,增强主要发生在接近 Si 带隙的光谱范围内。这项研究为光学器件中的抗反射涂层应用以及 Si 太阳能电池中的光管理开辟了新的前景。

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