Generative Deep Learning Model for a Multi-level Nano-Optic Broadband Power Splitter
Yingheng Tang, Keisuke Kojima, Toshiaki Koike–Akino, Ye Wang, Pengxiang Wu, Mohammad H. Tahersima, Devesh K. Jha, Kieran Parsons, Minghao Qi
Abstract
A novel Conditional Variational Autoencoder (CVAE) model with the adversarial censoring is presented to help to generate the 550nm broad bandwidth (1250nm to 1800nm) power splitter with arbitrary splitting ratio.
Topics & Concepts
AutoencoderSplitterBroadbandComputer scienceGenerative grammarCensoring (clinical trials)Bandwidth (computing)Artificial intelligenceDeep learningGenerative modelElectronic engineeringTelecommunicationsMathematicsOpticsEngineeringStatisticsPhysicsPhotonic and Optical DevicesNeural Networks and Reservoir ComputingOptical Network Technologies