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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