Abstract
Metallic thin films with nanocavity arrays provide ideal platforms for plasmonics, non-linear optics, surface chemistry and corresponding applications. A general understanding of electromagnetic (EM) field distributions is needed for further creation, manipulation and designation of near-field enhancements. Herein, we study the distribution of plasmonic hot spots over Ag thin films with triangular nanocavities in hexagonal arrays with a variable of lattice parameters. We propose that the concentration and interference of surface plasmon polaritons (SPP) dominates the distribution of plasmonic hot spots. The localized surface plasmonic resonance (LSPR) at nanocavities excites SPPs to propagate on the thin film, whose concentration and interference lead to an extremely strong near-field enhancement at the surface of the thin film, the location of which can also be termed as plasmonic hot spot. For this model, the calculation results of the physical formula are in excellent agreements with both the experimental results and the electrodynamic simulations with 3D finite element method (FEM). Moreover, the plasmonic hot spots distribute periodically within the nanocavity arrays, determined by the geometric symmetry of the array as well as with the polarization state of the incident field. The periodicity of plasmonic hot spots on flat surface illustrates a new way to concentrate SPPs in an extendable area, which has potential applications in localized non-linear optics, sensing, plasmonic logical circuit and optical computing.
Original language | English |
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Pages (from-to) | 54-61 |
Number of pages | 8 |
Journal | Materials Today |
Volume | 46 |
DOIs | |
State | Published - Jun 2021 |
Bibliographical note
Publisher Copyright:© 2020 Elsevier Ltd
Funding
The authors are very grateful for the financially support of the Basic Science Center Project of NSFC under grant No. 51788104, the National Natural Science Foundation of China (Grant No. 51761145045, 51531006, 51572148 and 52001183) and the Tsinghua University Initiative Scientific Research Program. The raw data and processed data required to reproduce these findings are available to download from https://cloud.tsinghua.edu.cn/group/16649/.
Funders | Funder number |
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National Natural Science Foundation of China | 52001183, 51788104, 51531006, 51761145045, 51572148 |
Tsinghua University |