Nanophotonic Structures and Parametric Design Simulations

本数据集由匹兹堡大学开发，专注于纳米光子结构及其参数化设计模拟。数据集涵盖了多种纳米光子结构，如太阳能电池、抗反射涂层、电磁干扰屏蔽等，用于评估优化算法在寻找基于目标光学特性的最佳光子结构方面的性能。数据集支持两种优化方法的原型设计：离散搜索空间模式和代理模型模式，允许用户快速测试优化算法，而无需运行昂贵的电磁动力学模拟。

This dataset was developed by the University of Pittsburgh, focusing on nanophotonic structures and their parametric design simulations. It covers a variety of nanophotonic structures including solar cells, anti-reflective coatings, electromagnetic interference (EMI) shielding and other types, and is used to evaluate the performance of optimization algorithms when searching for optimal photonic structures tailored to target optical properties. The dataset supports prototyping for two optimization approaches: discrete search space mode and surrogate model mode, enabling users to quickly test optimization algorithms without running computationally expensive electrodynamics simulations.