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This work enhances spectrometer functionality for mixed ultraviolet (UV) light detection. We propose a paradigm-shifting architecture where a perovskite quantum dot array replaces conventional interferometric optics. Through halide compositional engineering, the array achieves wavelength-specific responsivity and enables spectral discrimination. Integrated with a multilayer perceptron (MLP) neural network, the system precisely determines compositional ratios in polychromatic UV mixtures. Reconstruction errors are minimized via supervised learning training.
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Chen et al. (2025) studied this question.
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