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