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Conferences > CLEO_FS > 2023 > JW2A > JW2A.141

A Machine Learning-Based Model for Characterizing Stationary-and-Dynamic Behavior of VCSEL

Ihtesham Khan, Andrea Marchisio, Lorenzo Tunesi, Muhammad Umar Masood, Enrico Ghillino, Vittorio Curri, Andrea Carena, and Paolo Bardella

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Abstract

We propose a machine learning-based framework to acquire parameters that define stationary-and-dynamic behavior of VCSEL. Circuit-level simulations of light-current and S21 are used to train the model. In terms of relative-prediction-error promising results are achieved.

© 2023 The Author(s)

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