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Machine Learning for Optical Spectrum Prediction and Device Optimization

Introduction The optical spectrum of a photonic device is the measurable consequence of a complex interaction among geometry, material dispersion, electromagnetic boundary conditions, excitation state, fabrication variability, and environmental conditions. Whether the device is a wavelength-selective filter, metasurface, photonic crystal cavity, grating coupler, resonator, optical sensor, or nonlinear waveguide, its functional behavior is often summarized […]