Efficient high-order analysis of bowtie nanoantennas using the locally corrected Nystrom method

TL;DR

This paper introduces a high-order, efficient computational method called the Locally Corrected Nystrom (LCN) method for modeling scattering from plasmonic bowtie nanoantennas, demonstrating its accuracy and efficiency in 3D nanostructures.

Contribution

The paper presents the first application of the high-order LCN method to 3D nanostructures, showing its exponential convergence and computational advantages.

Findings

LCN method is accurate for 3D nanostructure analysis

LCN demonstrates exponential convergence

Method is computationally efficient and easy to implement

Abstract

It is demonstrated that the Locally Corrected Nystrom (LCN) method is a versatile and numerically efficient computational method for the modeling of scattering from plasmonic bowtie nanoantennas. The LCN method is a high-order analysis method that can provide exponential convergence. It is straightforward to implement, accurate and computationally efficient. To the best of the authors knowledge, the high-order LCN is here applied for the first time to 3D nanostructures. Numerical results show the accuracy and efficiency of the LCN applied to the electromagnetic analysis of nanostructures.