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Automated optimization of photonic crystal slab cavities

机译:自动化优化光子晶体平板腔

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摘要

Thanks to their high quality factor, combined to the smallest modal volume, defect-cavities in photonic crystal slabs represent a promising, versatile tool for fundamental studies and applications in photonics. In paricular, the L3, H0, and H1 defects are the most popular and widespread cavity designs, due to their compactness, simplicity, and small mode volume. For these cavities, the current best optimal designs still result in Q-values of a few times 105 only, namely one order of magnitude below the bound set by fabrication imperfections and material absorption in silicon. Here, we use a genetic algorithm to find a global maximum of the quality factor of these designs, by varying the positions of few neighbouring holes. We consistently find Q-values above one million – one order of magnitude higher than previous designs. Furthermore, we study the effect of disorder on the optimal designs and conclude that a similar improvement is also expected experimentally in state-of-the-art systems.
机译:由于其高质量的因素,再加上最小的模态体积,光子晶体平板中的缺陷腔是光子学基础研究和应用的有希望的多功能工具。特别地,由于L3,H0和H1的紧凑性,简单性和小模式体积,它们是最受欢迎和分布最广的腔体设计。对于这些腔体,当前最佳的最佳设计仍然仅导致Q值仅为10 5 的几倍,即比制造缺陷和硅中材料吸收所设定的边界低一个数量级。在这里,我们使用遗传算法通过改变几个相邻孔的位置来找到这些设计的品质因数的全局最大值。我们一直发现Q值超过一百万–比以前的设计高一个数量级。此外,我们研究了无序对最佳设计的影响,并得出结论,在最先进的系统中,也有望通过实验获得类似的改进。

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