Boundary element method for the electromagnetic analysis of metamaterials

D. M. Solís, M. Araújo, J. L. Rodríguez, F. Obelleiro, J. M. Taboada, L. Landesa
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Abstract

The full-wave simulation of metamaterials, presenting densely packed assemblies of subwavelength meta-atoms, poses a challenge for the computational electromagnetics community. Preserving the geometrical features of this kind of structures needs a highly discretized mesh, leading to problems that easily reach several tens of millions of unknowns if boundary element methods are used, despite the electric size being small. It is therefore evident that a means of compressing the resulting impedance matrix is paramount. In this regard, the spectral acceleration of the well-known fast multipole method (FMM) does not really exploit the rank-deficient method-of-moments matrix when applied to these scenarios, given its “low-frequency breakdown”. Although low-frequency versions of FMM have been proposed that try to circumvent this problem, we herein suggest to take advantage of the periodicity inherent to these nanostructures and directly compress the nearest couplings, for which standard FMM fails, through singular value decompositions (SVD) which are only performed a reduced number of times thanks to the repetition pattern.
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超材料电磁分析的边界元法
超材料的全波模拟,呈现密集排列的亚波长元原子集合,对计算电磁学界提出了挑战。保持这类结构的几何特征需要一个高度离散的网格,这导致如果使用边界元方法,尽管电尺寸很小,但问题很容易达到数千万个未知数。因此很明显,压缩所得阻抗矩阵的方法是至关重要的。在这方面,众所周知的快速多极方法(FMM)的谱加速在应用于这些场景时,由于其“低频击穿”,并没有真正利用缺秩矩法矩阵。尽管低频版本的FMM已经被提出试图规避这个问题,但我们在这里建议利用这些纳米结构固有的周期性,并通过奇异值分解(SVD)直接压缩最接近的耦合,而标准FMM无法做到这一点,由于重复模式,奇异值分解(SVD)只执行较少的次数。
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