Archivio Istituzionale della RicercaWe propose a machine learning-based model to extract physical parameters characterizing stationary and dynamic behavior of a VCSEL. The model is trained with circuit-level simulations of light-current and S21 characteristics. Excellent results are achieved as a relative prediction error.
Automated model for characterization of VCSEL circuit-level parameters using machine learning / Marchisio, Andrea; Khan, Ihtesham; Tunesi, Lorenzo; Masood, Muhammad Umar; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo. - ELETTRONICO. - (2023), pp. 264-266. (Intervento presentato al convegno European Conference on Integrated Optics tenutosi a Enschede, Paesi Bassi nel 19-21 Aprile 2023).
Automated model for characterization of VCSEL circuit-level parameters using machine learning
Marchisio, Andrea;Khan, Ihtesham;Tunesi, Lorenzo;Masood, Muhammad Umar;Curri, Vittorio;Carena, Andrea;Bardella, Paolo
2023
Abstract
We propose a machine learning-based model to extract physical parameters characterizing stationary and dynamic behavior of a VCSEL. The model is trained with circuit-level simulations of light-current and S21 characteristics. Excellent results are achieved as a relative prediction error.
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https://hdl.handle.net/11583/2978489