基于介电纳米粒子的彩色像素进化多目标优化
Evolutionary Multi-Objective Optimisation of Colour Pixels based on Dielectric Nano-Antennas
摘要：
光子纳米结构的合理设计在于从简单的模型或作为参考系的变化来预测它们的光学响应。当同时针对不同的目标时，这种战略是有限的。受生物学的启发，进化方法通过几个选择、突变和交叉的循环，模仿自然选择的过程，将纳米物体的形态推向最佳状态。然而，他们的扩展到多个目标需要有效的计算方案。我们提出了一种数值技术来设计光子纳米结构的光学性能优化沿几个任意的目标。进化多目标算法与频域电动力学模拟的这种组合用于设计在用户定义的偏振相关波长处谐振的硅纳米结构。电子束光刻制造的像素的光谱优化设计后显示出良好的协议与目标的目标。该方法是自适应的任意约束，因此特别有趣的技术限制内的复杂结构的设计。
英文摘要：
The rational design of photonic nanostructures consists in anticipating their optical response from simple models or as variations of reference systems. This strategy is limited when different objectives are simultaneously targeted. Inspired from biology, evolutionary approaches drive the morphology of a nano-object towards an optimum through several cycles of selection, mutation and cross-over, mimicking the process of natural selection. However, their extension to scenarii with multiple objectives demands efficient computational schemes. We present a numerical technique to design photonic nanostructures with optical properties optimized along several arbitrary objectives. This combination of evolutionary multi-objective algorithms with frequency-domain electro-dynamical simulations is used to design silicon nanostructures resonant at user-defined, polarization-dependent wavelengths. The spectra of pixels fabricated by electron beam lithography following the optimized design show excellent agreement with the targeted objectives. The method is self-adaptive to arbitrary constraints, and therefore particularly interesting for the design of complex structures within technological limits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
