A deep learning method for empirical spectral prediction and inverse design of all-optical nonlinear plasmonic ring resonator switches

A deep learning method for empirical spectral prediction and inverse design of all-optical nonlinear plasmonic ring resonator switches

Abstract All-optical plasmonic switches (AOPSs) utilizing surface plasmon polaritons are well-suited for integration into photonic integrated circuits (PICs) and play a crucial role in advancing all-optical signal processing. The current AOPS design methods still rely on trial-and-error or empirical...

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Bibliographic Details
Main Authors: Ehsan Adibnia, Mohammad Ali Mansouri-Birjandi, Majid Ghadrdan, Pouria Jafari
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Deep learning
Artificial neural network
Plasmonic switch
Inverse design
Nanophotonics
Online Access:https://doi.org/10.1038/s41598-024-56522-3

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