Parallel FDTD Modeling of Nonlocality in Plasmonics

As nanofabrication techniques become more precise, with ever smaller feature sizes, the ability to model nonlocal effects in plasmonics becomes increasingly important. Although nonlocal models based on hydrodynamics have been implemented using various computational electromagnetics techniques, the finite-difference time-domain (FDTD) version has remained elusive. Here, we present a comprehensive FDTD implementation of nonlocal hydrodynamics, including parallel computing. As a subnanometer step size is required to resolve nonlocal effects, a parallel implementation makes the computational cost of nonlocal FDTD more affordable. We first validate our algorithms for small spherical metallic particles, and find that nonlocality smears out staircasing artifacts at metal surfaces, increasing the accuracy over local models. We find this also for a larger nanostructure with sharp extrusions. The large size of this simulation, where nonlocal effects are clearly present, highlights the importance and impact of a parallel implementation in FDTD.

Automated summary

As nanofabrication techniques advance, modeling nonlocal effects in plasmonics has become increasingly important. This study presents a comprehensive FDTD implementation of nonlocal hydrodynamics with parallel computing, demonstrating the importance of parallel implementation in addressing nonlocal effects and increasing simulation accuracy for metallic particles and nanostructures.