Low-overhead distribution strategy for simulation and optimization of large-area metasurfaces

Abstract Fast and accurate electromagnetic simulation of large-area metasurfaces remains a major obstacle in automating their design. In this paper, we propose a metasurface simulation distribution strategy which achieves a linear reduction in the simulation time with the number of compute nodes. Co...

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Bibliographic Details
Main Authors: Jinhie Skarda, Rahul Trivedi, Logan Su, Diego Ahmad-Stein, Hyounghan Kwon, Seunghoon Han, Shanhui Fan, Jelena Vučković
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-022-00774-y
Description
Summary:Abstract Fast and accurate electromagnetic simulation of large-area metasurfaces remains a major obstacle in automating their design. In this paper, we propose a metasurface simulation distribution strategy which achieves a linear reduction in the simulation time with the number of compute nodes. Combining this distribution strategy with a GPU-based implementation of the Transition-matrix method, we perform accurate simulations and adjoint sensitivity analysis of large-area metasurfaces. We demonstrate ability to perform a distributed simulation of large-area metasurfaces (over 600λ × 600λ), while accurately accounting for scatterer-scatterer interactions significantly beyond the locally periodic approximation.
ISSN:2057-3960