一个T矩阵数据库以促进纳米光子学中的信息驱动研究
A T-matrix database to promote information-driven research in nanophotonics
AI总结：
本文提出Daphona T矩阵门户，提供标准化数据促进纳米光子学中的信息驱动研究。
摘要：
信息驱动方法从机器学习和人工智能中探索超材料的光学响应以及更广泛的光子系统，依赖于良好的注释数据集进行训练。对于由周期性或非周期性排列的散射体构成的超材料，其响应的主要信息编码在这些个体散射体的光学性质中。在线性范围内，该响应完全包含在单个散射体的跃迁或T矩阵中。然而，尽管这些T矩阵在探索更广泛的光子材料中的高级应用中被广泛使用，但没有共同的基础设施来分发它们并带有一致的元数据和标准表示。这将有助于避免全球研究人员重复、资源密集的T矩阵计算，并促进数据驱动的研究。为克服这一限制，我们介绍了Daphona T矩阵门户，网址为https://tmatrix.scc.kit.edu/，这是一个基于网页的平台，用于交互式搜索、过滤和导出标准化数据，包含广泛散射体的结构-性质关系，如通过它们的T矩阵表达。除了介绍这一基础设施外，我们还展示了可用数据如何在更广泛的信息驱动研究背景下解决科学问题。我们贡献中的多个示例涵盖了替代正向模型和反向设计模型，这些模型要么直接在T矩阵上操作，要么替代地在由这些散射体制成的超材料的光学可观测性上操作。
英文摘要：
Information-driven methods from machine learning and artificial intelligence for exploring the optical response of metasurfaces and, more generally, photonic systems rely on well-annotated datasets for training. For metasurfaces made from a periodic or aperiodic arrangement of scatterers, the primary information encoding their response is the optical properties of these individual scatterers. In the linear regime, that response is entirely contained in the transition or T-matrix of the individual scatterer. However, despite the widespread use of these T-matrices in exploring advanced photonic materials within the larger community, there is no common infrastructure for distributing them with consistent metadata and a standard representation. That would be important to avoid the repetitive, resource-intensive computation of these T-matrices by researchers worldwide and to enable data-driven research. To overcome this limitation, we introduce the Daphona T-matrix portal at https://tmatrix.scc.kit.edu/, a web-based platform for interactive searching, filtering, and exporting standardized data containing structure-property relations for a wide range of scatterers, as expressed by their T-matrices. Besides introducing this infrastructure, we demonstrate how the available data enables addressing scientific questions in the broader context of information-driven research. The multiple illustrative examples in our contribution cover both surrogate forward models and inverse design models, and operate either directly on the T-matrix or alternatively on optical observables of metasurfaces made from these scatterers.
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