Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
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DOI：
10.48550/arxiv.2310.19053
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Jungtaek Kim;Mingxuan Li;Oliver Hinder;Paul W. Leu
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文献类型：
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作者：
Jungtaek Kim;Mingxuan Li;Oliver Hinder;Paul W. Leu
纳米光子结构具有多种应用，包括太阳能电池、抗反射涂层、电磁干扰屏蔽、光学滤波器和发光二极管。为了设计和理解这些纳米光子结构，电动力学模拟是必不可少的。这些模拟使我们能够对随时间变化的电磁场进行建模并计算光学特性。在这项工作中，我们引入了框架和基准，以便在参数化结构设计问题的背景下评估纳米光子结构。这些基准有助于评估优化算法的性能，并根据目标光学特性确定最佳结构。此外，我们还探讨了电动力学模拟中不同网格尺寸的影响，阐明了如何策略性地利用评估精度来改进结构设计。
Nanophotonic structures have versatile applications including solar cells, anti-reflective coatings, electromagnetic interference shielding, optical filters, and light emitting diodes. To design and understand these nanophotonic structures, electrodynamic simulations are essential. These simulations enable us to model electromagnetic fields over time and calculate optical properties. In this work, we introduce frameworks and benchmarks to evaluate nanophotonic structures in the context of parametric structure design problems. The benchmarks are instrumental in assessing the performance of optimization algorithms and identifying an optimal structure based on target optical properties. Moreover, we explore the impact of varying grid sizes in electrodynamic simulations, shedding light on how evaluation fidelity can be strategically leveraged in enhancing structure designs.