Simulation acceleration for transmittance of electromagnetic waves in 2D slit arrays using deep learning.

ABSTRACT: When designing new optical devices, many simulations must be conducted to determine the optimal design parameters. Therefore, fast and accurate simulations are essential for designing optical devices. In this work, we introduce a deep learning approach that accelerates a simulator solving frequency-domain Maxwell equations. Our model achieves high accuracy while predicting transmittance per wavelength in 2D slit arrays under certain conditions to achieve 160,000 times faster results than the simulator. We generated a dataset using an open-source simulator and compared its performance with those of other machine learning models. Additionally, we propose a new loss function and performance evaluation method for creating better performance models with multiple regression outputs from one inpu

SUBMITTER: Kim W 

PROVIDER: S-EPMC7324378 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature