4.6 Article

Green Tensor Analysis of Lattice Resonances in Periodic Arrays of Nanoparticles

期刊

ACS PHOTONICS
卷 9, 期 2, 页码 540-550

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsphotonics.1c01463

关键词

lattice resonances; periodic arrays; nanoparticle arrays; Green tensor; dipole-dipole coupling; quantum emitters

资金

  1. Spanish MCIN, U.S. National Science Foundation
  2. U.S. Department of Energy

向作者/读者索取更多资源

When metallic nanostructures are arranged in a periodic geometry, lattice resonances can occur, resulting in strong and narrow optical responses. This study shows that periodic arrays of metallic nanoparticles can enhance the long-range coupling between dipole emitters, making them a promising platform for applications such as nanoscale energy transfer and quantum information processing.
When arranged in a periodic geometry, arrays of metallic nanostructures are capable of supporting collective modes known as lattice resonances. These modes, which originate from the coherent multiple scattering between the elements of the array, give rise to very strong and spectrally narrow optical responses. Here, we show that, thanks to their collective nature, the lattice resonances of a periodic array of metallic nanoparticles can mediate an efficient long-range coupling between dipole emitters placed near the array. Specifically, using a coupled dipole approach, we calculate the Green tensor of the array connecting two points and analyze its spectral and spatial characteristics. This quantity represents the electromagnetic field produced by the array at a given position when excited by a unit dipole emitter located at another one. We find that, when a lattice resonance is excited, the Green tensor is significantly larger and decays more slowly with distance than the Green tensor of vacuum. Therefore, in addition to advancing the fundamental understanding of lattice resonances, our results show that periodic arrays of nanostructures are capable of enhancing the long-range coupling between collections of dipole emitters, which makes them a promising platform for applications such as nanoscale energy transfer and quantum information processing.

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