On a silicon nitride photonic platform, linear regression with variable selection beats decision trees, random forests, support vector, kernel ridge, and neural network models for predicting waveguide loss, and identifies wavelength as the dominant factor, leading to a 2 dB loss improvement via…
Wafer-scale demonstration of low-loss (∼0.43 dB/cm), high-bandwidth (>38 GHz), silicon photonics platform operating at the C-band,
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Analysis of Photonic Circuit Losses with Machine Learning Techniques
On a silicon nitride photonic platform, linear regression with variable selection beats decision trees, random forests, support vector, kernel ridge, and neural network models for predicting waveguide loss, and identifies wavelength as the dominant factor, leading to a 2 dB loss improvement via…