Krylov subspace-based and MBF-based analysis of large finite arrays of silver nanorods in the presence of a scatterer

D. Tihon, N. Ozdemir, C. Craeye
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Abstract

Metamaterials receive increasing attention at optical frequencies due to their potential for subwavelength imaging. Among the possible structures are dense, doubly periodic arrays of silver nanorods where image transmission is achieved via surface plasmon polaritons. However, the numerical simulation of such dense structures may require excessive computational resources without employing an efficient numerical approach. In this paper, the multiple-scattering based Macro Basis Function (MBF) method is applied to the shielded-block preconditioned matrix, which represents interactions between different elements of the array (subdomains). The “rule of thumb” that relates the number of MBFs generated on a subdomain to the number of iterations required by the Full Orthogonalization Method (FOM) for the same error level is investigated. For high levels of error, the number of MBFs are observed to be smaller than the number of iterations required. Conversely, for low levels of error, the FOM converges faster.
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基于Krylov子空间和mbf的大型有限银纳米棒阵列在散射体存在下的分析
超材料由于具有亚波长成像的潜力,在光学频率上受到越来越多的关注。在可能的结构中,密集的双周期银纳米棒阵列通过表面等离子激元极化实现图像传输。然而,这种密集结构的数值模拟可能需要过多的计算资源,而没有采用有效的数值方法。本文将基于多重散射的宏基函数(Macro Basis Function, MBF)方法应用于表示阵列(子域)不同元素之间相互作用的屏蔽块预条件矩阵。研究了将子域上生成的mbf的数量与相同错误级别的完全正交化方法(FOM)所需的迭代次数联系起来的“经验法则”。对于高水平的错误,可以观察到mbf的数量小于所需的迭代次数。相反,对于低误差水平,FOM收敛得更快。
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