Grid-wise simulation acceleration of the electromagnetic fields of 2D optical devices using super-resolution.

ABSTRACT: The significance of simulation has been increasing in device design due to the cost of real test. The accuracy of the simulation increases as the resolution of the simulation increases. However, the high-resolution simulation is not suited for actual device design because the amount of computing exponentially increases as the resolution increases. In this study, we introduce a model that predicts high-resolution outcomes using low-resolution calculated values which successfully achieves high simulation accuracy with low computational cost. The fast residual learning super-resolution (FRSR) convolutional network model is a model that we introduced that can simulate electromagnetic fields of optical. Our model achieved high accuracy when using the super-resolution technique on a 2D slit arra

SUBMITTER: Seo J 

PROVIDER: S-EPMC9988857 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature