A review of deep learning based one-dimensional photonic crystals for customizable visible light reflection spectrum

This review delves into the realm of deep learning applied to one-dimensional photonic crystals (1D PhCs) for tailoring customizable visible light reflection spectra. Photonic crystals (PhCs) have garnered significant interest due to their skill to manipulate bright at the nanoscale, offering a plethora of applications in optics also photonics. The integration of deep learning techniques with 1D PhCs presents an innovative approach to designing structures with tailored reflection spectra, enabling precise control over light properties such as color, intensity, and directionality. This review explores the latest advancements, challenges, and future prospects in this emerging field, shedding light on the potential for creating advanced optical devices with unprecedented functionality and performance.