Archivio Istituzionale della RicercaModern optical transmission standards require steep band-pass filters enabling spectrally efficient channels spacing. For this aim, we propose a machine-learning agent to assist in the characterization of complex ring resonator filters to fulfill the transmission requirements.
Machine Learning aided characterization of multi-stage integrated ring resonator filters / Khan, Ihtesham; Tunesi, Lorenzo; Masood, MUHAMMAD UMAR; Ghillino, Enrico; Bardella, Paolo; Carena, Andrea; Curri, Vittorio. - ELETTRONICO. - (2022). (Intervento presentato al convegno Optica Advanced Photonics Congress 2022 tenutosi a Maastricht,Limburg Netherlands nel 24–28 July 2022).
Machine Learning aided characterization of multi-stage integrated ring resonator filters
Ihtesham Khan;Lorenzo Tunesi;Muhammad Umar Masood;Paolo Bardella;Andrea Carena;Vittorio Curri
2022
Abstract
Modern optical transmission standards require steep band-pass filters enabling spectrally efficient channels spacing. For this aim, we propose a machine-learning agent to assist in the characterization of complex ring resonator filters to fulfill the transmission requirements.
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IPRSN-2022-IM3B.4.pdf
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C_CLEO_2022_Machine_Learning_Assisted_Design___V1_29112021_2.pdf
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https://hdl.handle.net/11583/2972638