Using Machine Learning Pattern Recognition to Enhance Silicon Photonic Design and Fabrication

ML enhances silicon photonics by enabling efficient exploration of complex design spaces and correcting geometrical deviations in fabrication. Our approaches generate optimal designs with better confidence, while reducing calibration runs, saving time and cost.