Abstract
We demonstrated deep learning based inverse design of integrated silicon nanophotonic grating. Predicted geometries by the inverse design algorithm resulted in mean-square-error of the order of 10-4 while comparison of simulated and predicted transmission response.
© 2021 IEEE
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