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Conferences > CLEO_SI > 2021 > SW4E > SW4E.1

Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning

Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Devesh K. Jha, Kieran Parsons, and Minghao Qi

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Abstract

A novel generative deep learning model with a cycle-consistent adversarial network is introduced for optimizing 550 nm broad bandwidth (1250 nm to 1800 nm) power splitters with arbitrary target splitting ratios.

© 2021 The Author(s)

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