Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu

TL;DR
This paper introduces frameworks and benchmarks for evaluating nanophotonic structures using electrodynamic simulations, aiding in the optimization and design of structures with desired optical properties.
Contribution
It presents new benchmarks and analysis tools for nanophotonic structure design, focusing on simulation fidelity and optimization performance.
Findings
Benchmarks for nanophotonic structure evaluation
Impact of grid size on simulation accuracy
Strategies for optimizing optical properties
Abstract
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.
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Taxonomy
TopicsPhotonic Crystals and Applications · Advanced Multi-Objective Optimization Algorithms · Photonic and Optical Devices
