2020/05/14 by Joshua Baxter, Antonio Calà Lesina, Antonino Calà Lesina +1
Engineering · Materials Science · Physics and Astronomy · #Computational electromagnetics #Computational science #Computer science #Electromagnetic Simulation and Numerical Methods #Electromagnetic field #Electromagnetics #Engineering physics #Finite-difference time-domain method #Optical Coatings and Gratings #Optics #Physics #Plasmon #Plasmonic and Surface Plasmon Research #Quantum mechanics #Quantum nonlocality #physics.comp-ph #physics.optics
paper · pdf · doi:10.1109/tap.2020.3044579
arxiv created 2020/05/14 · openalex created_date 2020/05/21 · openalex publication_date 2020/12/21 · arxiv updated 2021/07/28 · openalex updated_date 2026/08/06
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.