Green Tensor Analysis of Lattice Resonances in Periodic Arrays of Nanoparticles
Green Tensor Analysis of Lattice Resonances in Periodic Arrays of Nanoparticles
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DOI：
10.1021/acsphotonics.1c01463
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发表时间：
2021-10
期刊：
影响因子：
7
通讯作者：
Lauren Zundel;A. Cuartero-Gonz'alez;S. Sanders;A. I. Fernández-Domínguez;A. Manjavacas
中科院分区：
文献类型：
--
作者：
Lauren Zundel;A. Cuartero-Gonz'alez;S. Sanders;A. I. Fernández-Domínguez;A. Manjavacas
当以周期性几何形状排列时，金属纳米结构的阵列能够支持被称为晶格共振的集体模式。这些模式源自阵列元件之间的相干多重散射，产生非常强且光谱窄的光学响应。在这里，我们表明，由于它们的集体性质，金属纳米颗粒的周期性阵列的晶格共振可以介导放置在阵列附近的偶极发射器之间的有效的远程耦合。具体来说，我们使用耦合偶极子的方法，计算连接两个点的阵列的绿色张量，并分析其频谱和空间特性。该量表示当由位于另一个位置的单元偶极子发射器激励时，由阵列在给定位置处产生的电磁场。我们发现，当晶格共振被激发时，绿色张量是显着更大，衰减更慢的距离比真空的绿色张量。因此，除了推进对晶格共振的基本理解外，我们的研究结果还表明，纳米结构的周期性阵列能够增强偶极发射体集合之间的长程耦合，这使它们成为纳米级能量转移和量子信息处理等应用的有前途的平台。
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.