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等离激元纳米线非经典光学响应的S矩阵形式体系

An S-matrix Formalism for the Nonclassical Optical Response of Plasmonic Nanowires

Xin Zheng, Christos Tserkezis, Christos Mystilidis, Guy A. E. Vandenbosch, Xuezhi Zheng

arXiv 2610.01144首次发表:更新:

发表机构

KU Leuven; Nanjing University of Aeronautics and Astronautics; University of Southern Denmark(荷语鲁汶大学; 南京航空航天大学; 南丹麦大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出一种基于S矩阵的计算方案,用于预测含同心或偏心结构的介观等离激元纳米线的光-物质相互作用,涵盖HDM、GNOR和SRM模型,并通过与BEM对比及钠纳米透镜验证了其准确性。

AI 中文摘要

本文报道了一种计算方案,用于预测多个介观等离激元纳米线(NWs)中的光-物质相互作用,其中每个纳米线包含同心或偏心的组成线。该方案的核心在于每个圆柱形界面的S矩阵。界面内外的材料光学响应可由三种流行的介观模型描述:流体动力学德鲁德模型(HDM)及其扩散变体,即广义非局域光学响应(GNOR)模型,以及表面响应模型(SRM)。为考虑圆柱形界面之间的相对位移,应用加法定理构建了算法背后的主方程,其中也包含了HDM和GNOR模型中固有的纵波可能性。通过所提出的S矩阵方法计算的光学响应与针对单个金纳米线和偏心双材料纳米线的内部开发的边界元法(BEM)工具箱进行了比较,结果显示出极好的一致性。该算法还针对具有强场聚焦的钠纳米透镜三聚体进行了物理验证,并比较了HDM和SRM的影响。

英文摘要

This paper reports a computational scheme which predicts the light-matter interaction in multiple mesoscopic plasmonic nanowires (NWs), each of which includes concentric or eccentric constituent wires. Lying at the core of the proposed scheme is the S-Matrix of each individual cylindrical interface. The optical response of the materials inside and outside each interface can be described by three popular mesoscopic models: the Hydrodynamic Drude model (HDM) and its diffusive variant, namely the Generalized Nonlocal Optical Response (GNOR) model, as well as the Surface Response Model (SRM). To take into account the relative displacements between the cylindrical interfaces, the addition theorem is applied to construct the main equation behind the algorithm, where the possibility of longitudinal waves intrinsic in the HDM and GNOR models is also included. The optical responses calculated by the proposed S Matrix Method are compared with an in-house developed boundary element method (BEM) toolbox for a single gold NW and an eccentric dual-material NW, and excellent agreements are seen. The algorithm is further physically checked for a sodium nanolens trimer featuring large field focusing, and the effects of the HDM and the SRM are compared.

Comments14 pages, 10 figures. This work has been submitted to the IEEE for possible publication

论文原文

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