论文标题

3D拓扑光子晶体的自动发现和优化

Automated Discovery and Optimization of 3D Topological Photonic Crystals

论文作者

Kim, Samuel, Christensen, Thomas, Johnson, Steven G., Soljačić, Marin

论文摘要

拓扑光子晶体以独特的方式操纵和引导光的能力受到了极大的关注。它们通常是基于对其频段和模式概况的仔细分析而手动设计的,但是最近的理论进步揭示了对乐队对称性,连通性和拓扑之间联系的新的强大见解。在这里,我们提出了一个组合的全局和局部优化框架,该框架将灵活的对称性受限的级别参数化与标准的无梯度优化算法相结合,以优化拓扑光子晶体,该问题设置可能是高度非convex和非连续性的问题设置。我们的框架可以应用于任何对称性可识别的谱带拓扑,我们证明了它适用于几种突出的三维带拓扑,即$γ$启用$γ$强制性的节点线,Weyl点和Chern绝缘子。我们的方法不需要先前的拓扑光子晶体或关于结构和带拓扑之间连接的先验知识,我们的方法表明了通向自动发现新型拓扑光子晶体设计的途径。

Topological photonic crystals have received considerable attention for their ability to manipulate and guide light in unique ways. They are typically designed by hand based on careful analysis of their bands and mode profiles, but recent theoretical advances have revealed new and powerful insights into the connection between band symmetry, connectivity, and topology. Here we propose a combined global and local optimization framework that integrates a flexible symmetry-constrained level-set parameterization with standard gradient-free optimization algorithms to optimize topological photonic crystals, a problem setting where the objective function may be highly non-convex and non-continuous. Our framework can be applied to any symmetry-identifiable band topology, and we demonstrate its applicability to several prominent kinds of three-dimensional band topology, namely $Γ$-enforced nodal lines, Weyl points, and Chern insulators. Requiring no prior examples of topological photonic crystals or prior knowledge on the connection between structure and band topology, our approach indicates a path towards the automated discovery of novel topological photonic crystal designs.

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