An improved tandem neural network for the inverse design of nanophotonics devices

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.

Automated summary

The study utilizes a tandem neural network with modified loss function for inverse design of nanophotonic devices, demonstrating high prediction accuracy and comparing different activation functions and loss functions for optimal scheme. The method can be easily applied to various cases to obtain design parameters instantly from device response curves.