Design of plasmonic directional antennas via evolutionary optimization.
Design of plasmonic directional antennas via evolutionary optimization.
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DOI：
10.1364/oe.27.029069
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发表时间：
2019-06
期刊：
影响因子：
3.8
通讯作者：
P. Wiecha;Cl'ement Majorel;C. Girard;A. Cuche;V. Paillard;O. Muskens;A. Arbouet
中科院分区：
文献类型：
--
作者：
P. Wiecha;Cl'ement Majorel;C. Girard;A. Cuche;V. Paillard;O. Muskens;A. Arbouet
我们演示了用于定向光散射的等离子体纳米天线的逆向设计。我们的方法基于通过格林二进法和进化优化（EO）进行的全场电动力学模拟的组合。在没有任何初始偏差的情况下，我们发现 EO 可重复发现的几何形状与射频天线的工作原理相同。我们通过针对不同的散射问题设计各种定向光学天线，展示了我们方法的多功能性。基于 EO 的纳米天线设计在纳米级信息路由和处理或单分子光谱学等众多应用中具有巨大的潜力。此外，EO 可以帮助导出一般设计规则并确定光子纳米粒子和超表面的固有物理限制。
We demonstrate inverse design of plasmonic nanoantennas for directional light scattering. Our method is based on a combination of full-field electrodynamical simulations via the Green dyadic method and evolutionary optimization (EO). Without any initial bias, we find that the geometries reproducibly found by EO work on the same principles as radio-frequency antennas. We demonstrate the versatility of our approach by designing various directional optical antennas for different scattering problems. EO-based nanoantenna design has tremendous potential for a multitude of applications like nano-scale information routing and processing or single-molecule spectroscopy. Furthermore, EO can help to derive general design rules and to identify inherent physical limitations for photonic nanoparticles and metasurfaces.