Abstract The tandem neural network with a modified loss function is used to inversely design the nanophotonic device from a desired spectrum, to obtain the corresponding structural parameters. High prediction accuracy is demonstrated on the inverse design of grating coupler examples, etc. Different activation functions and loss functions used in the tandem network are compared to find the optimum scheme. The method can be readily applied to many other cases in order to obtain the design parameters instantaneously from the device response curves.
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An improved tandem neural network for the inverse design of nanophotonics devices
Semantic Scholar · Engineering · 2021
Abstract
Abstract The tandem neural network with a modified loss function is used to inversely design the nanophotonic device from a desired spectrum, to obtain the corresponding structural parameters. High prediction accuracy is demonstrated on the inverse design of grating coupler examples, etc. Different activation functions and loss functions used in the tandem network are compared to find the optimum scheme. The method can be readily applied to many other cases in order to obtain the design parameters instantaneously from the device response curves.