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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Binary PSO algorithm assisted to investigate the optical sensor based plasmonic nano-bi-domes
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Binary PSO algorithm assisted to investigate the optical sensor based plasmonic nano-bi-domes

机译:二进制PSO算法辅助研究基于光学传感器的等离激元纳米双球

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摘要

In this paper, a coherent perfect absorption (CPA)-type sensor based on plasmonic nano-particle is proposed. It consists of a plasmonic nano bi-domes array on top of a quartz substrate. The refractive index changes above the sensor surface, which is due to the appearance of gas or the absorption of biomolecules, can be detected by measuring the resulting spectral shifts of the absorption coefficient. Since the CPA efficiency depends strongly on the number of plasmonic nano-particles and the nano particles location, binary particle swarm optimization (BPSO) algorithm is used to design an optimized array of the plasmonic nano-bi-domes. This optimized structure should be maximizing the absorption coefficient only in the one frequency. BPSO algorithm, a swarm of birds including a matrix with binary entries responsible for controlling nano-bi-domes in the array, shows the presence with symbol of ('1') and the absence with ('0'). The sensor can be used for sensing both gas and low-refractive-index materials in an aqueous environment. (C) 2016 Elsevier GmbH. All rights reserved.
机译:本文提出了一种基于等离子体纳米粒子的相干完美吸收(CPA)型传感器。它由在石英基板顶部的等离激元纳米双圆顶阵列组成。传感器表面上方的折射率变化是由于气体的出现或生物分子的吸收引起的,可以通过测量吸收系数的光谱移动来检测。由于CPA效率很大程度上取决于等离激元纳米粒子的数量和纳米粒子的位置,因此使用二进制粒子群优化(BPSO)算法来设计等离激元纳米双圆顶的优化阵列。这种优化的结构应该仅在一个频率上使吸收系数最大化。 BPSO算法是一群鸟类,其中包括一个矩阵,矩阵中的二进制条目负责控制数组中的纳米双球体,并以('1')符号表示存在,而以('0')符号表示存在。该传感器可用于感测水性环境中的气体和低折射率材料。 (C)2016 Elsevier GmbH。版权所有。

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