2022/12/21 by Prerak Dhawan, Linus Schulte, Peter M. Piechulla +5 · 1 voice
Materials Science · Physics and Astronomy · #Metamaterials and Metasurfaces Applications #Photonic Crystals and Applications #Random lasers and scattering media
paper · doi:10.1364/josab.476859
openalex publication_date 2022/12/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
High-index nanodisk metasurfaces with correlated disorder are promising as an anti-reflective metasurface for several optoelectronic devices. However, their computational analysis remains a major challenge since capturing the long-range scattering response of these disordered nanostructures requires a sufficiently large simulation domain, inhibiting simulation studies due to high computational costs. To overcome this challenge, we investigate the collective coordinate method (CCM) to identify smaller and optimal super-cells feasible for computational analysis that still represent the spatial correlation characteristics of the larger system. Our focus lies in determining the reliability of the optical response obtained from such optimized samples compared to ensemble-averaged unoptimized samples and large-scale samples that include long-range information. Our results in the context of solar cells indicate that CCM offers a robust solution across all scatterer parameters and domain sizes to accurately simulate the response of a large-scale system with hyperuniform disorder. Our work unlocks a use of such a reciprocal-space optimization scheme to reliably simulate metasurfaces with tailored disorder.