[CFA12E] Advanced Designs of Silicon Photonics Devices

[CFA12E-05] Deep Transfer Learning for Nanophotonic Device Design

*Keisuke Kojima¹, Minwoo Jung², Toshiaki Koike-Akino¹, Ye Wang¹, Matthew Brand¹, Kieran Parsons¹ (1. Mitsubishi Electric Research Labs. (MERL) (United States of America), 2. Cornel Univ. (United States of America))

[Presentation Style] Onsite

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.