Modal decomposition of localized plasmon on gold nanoparticles

TL;DR

This paper introduces mode decomposition techniques using SVD and QNM within BEM to analyze localized surface plasmons on gold nanoparticles, enhancing physical insight and computational efficiency.

Contribution

It presents novel mode decomposition strategies that improve understanding and spectral reconstruction of LSPs in complex-shaped nanoparticles.

Findings

QNM decomposition reveals resonance frequencies and damping.

SVD modes enable fast and accurate spectral analysis.

Enhanced design capabilities for plasmonic nanostructures.

Abstract

Localized surface plasmons (LSPs) are collective oscillations of free electrons in metal nanoparticles that confine electromagnetic waves into subwavelength regions, making them an ideal platform for light-matter coupling. To design and understand plasmonic structures, numerical computations of Maxwell's equations are commonly used. However, obtaining physical insight from these numerical solutions can be challenging, especially for complex-shaped nanoparticles. To circumvent this, we introduce mode decomposition strategies within the boundary element method (BEM). By employing singular value decomposition (SVD) and quasi-normal mode (QNM) decomposition, we break down optical responses into elementary modes. QNMs offer deeper insights into frequency and damping, while SVD modes allow for more accurate spectral reconstruction with fast computation. These techniques provide a deeper understanding of LSPs and facilitates the design of metal nanoparticles for efficient light-matter interaction.