Deep Transfer Learning for Nanophotonic Device Design
Keisuke Kojima, Minwoo Jung, Toshiaki Koike–Akino, Ye Wang, Matthew Brand, Kieran Parsons · 2022
Applying a transfer-learning technique for generative deep neural networks, we demonstrate a very time-efficient inverse design framework for photonic integrated circuit devices, when there are new demands for structural/material parameters from an existing device library.