The optiSLang optimization process starts by identifying the inputs and responses of the FDTD simulation and relating them with the Parametric solver system in optiSlang.Īfterward, a sensitivity wizard is applied to the system to create the metamodel module (here named AMOP). Where \(T_s\) stands for the transmission of s-polarized (TM) light. But here, we will sweep only the grating period and substrate thickness, and see how they affect the performance of the grating in terms of the TE transmission (\(T_p\)) and the extinction ratio (\(ER)\): There are four design parameters that we want to optimize. This step provides a quick check-up on the settings of the 2D FDTD simulation as described below. A metamodel of the design is created by running relatively small numbers of FDTD simulations and then optimization over a vast number of inputs is performed to find the best designs in an efficient way compared to the in-built particle swarm optimization in FDTD. Here we aim to find the designs with the best figures of merit, specifically the TE transmission and the extinction ratio (=contrast ratio) of the device by using Ansys optiSlang. This article is built on the existing example of a Understand the simulation workflow and key results In this example, Ansys Lumerical FDTD capability in modeling a wire grid polarizer is combined with optiSLang’s powerful optimization capability for finding designs with the best performance in terms of the TE (p-polarization) transmission and the extinction ratio of the device.
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