Ultra-multi-mode high-Q plasmonic resonances by extracting guided modes via metallic lattice

Abstract

Achieving multiple plasmonic resonances with high quality (Q) factors is highly desirable for compact photonic devices and multi-functional systems, as it enables multi-functional operations, such as biosensing, nonlinear optics, and wavefront modulation, while maintaining structural simplicity and reducing fabrication complexity. Here, based on a period-constrained guided-mode theory, we present a dielectric-metal-dielectric-metal (DMDM) nanostructure that supports ultra-multi-mode high-Q plasmonic resonances, together with large near-field enhancements and fine spatial mode overlaps. In this nanostructure, a metallic lattice embedded in a dielectric waveguide supports bright localized surface plasmon resonances (LSPRs) and enables selective excitation of dark guided modes (GMs). Then, the ultra-multi-mode high-Q modes are formed by the far-field dipole-dipole interactions between the LSPRs through the coupling channels of GMs. Theoretical results show that the DMDM nanostructure sustains over 20 resonance modes with Q-factors exceeding 200, among which more than 10 modes with Q-factors above 800. Experimentally, although affected by fabrication errors and restricted by measurement conditions, the fabricated nanostructure simultaneously exhibits 20 high-Q modes (Q > 180), which is unprecedented in plasmonic systems. Additionally, by introducing structural anisotropy, the structure exhibits distinct polarization-switchable responses, benefiting applications requiring tunable response. These findings demonstrate a feasible approach to realize multiple high-Q plasmonic resonances, and offer a versatile platform for multi-mode optical applications.

Supplementary files

Article information

Article type
Communication
Accepted
15 May 2026
First published
16 May 2026

Nanoscale, 2026, Accepted Manuscript

Ultra-multi-mode high-Q plasmonic resonances by extracting guided modes via metallic lattice

L. Lin, S. Qiu, X. Liu, Z. Ma, M. Jiang, J. Xue and Z. Zhou, Nanoscale, 2026, Accepted Manuscript , DOI: 10.1039/D6NR01642A

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