Details
| Original language | English |
|---|---|
| Pages (from-to) | 3982 - 3994 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Antennas and Propagation |
| Volume | 69 |
| Issue number | 7 |
| Early online date | 21 Dec 2020 |
| Publication status | Published - 1 Jul 2021 |
Abstract
As nanofabrication techniques become more precise, with ever smaller feature sizes, the ability to model nonlocal effects in plasmonics becomes increasingly important. While 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 for parallel computing. As a sub-nanometer 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.
Keywords
- FDTD, GNOR, hydrodynamic plasma model, nonlocality, parallel computing, plasmonics, Finite-difference time-domain (FDTD), generalized nonlocal optical response (GNOR)
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Transactions on Antennas and Propagation, Vol. 69, No. 7, 01.07.2021, p. 3982 - 3994.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Parallel FDTD Modeling of Nonlocality in Plasmonics
AU - Baxter, Joshua
AU - Lesina, Antonio Cala
AU - Ramunno, Lora
N1 - Publisher Copyright: © 1963-2012 IEEE.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - As nanofabrication techniques become more precise, with ever smaller feature sizes, the ability to model nonlocal effects in plasmonics becomes increasingly important. While 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 for parallel computing. As a sub-nanometer 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.
AB - As nanofabrication techniques become more precise, with ever smaller feature sizes, the ability to model nonlocal effects in plasmonics becomes increasingly important. While 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 for parallel computing. As a sub-nanometer 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.
KW - FDTD
KW - GNOR
KW - hydrodynamic plasma model
KW - nonlocality
KW - parallel computing
KW - plasmonics
KW - Finite-difference time-domain (FDTD)
KW - generalized nonlocal optical response (GNOR)
UR - http://www.scopus.com/inward/record.url?scp=85098765987&partnerID=8YFLogxK
U2 - 10.1109/TAP.2020.3044579
DO - 10.1109/TAP.2020.3044579
M3 - Article
AN - SCOPUS:85098765987
VL - 69
SP - 3982
EP - 3994
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
SN - 0018-926X
IS - 7
ER -