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The growing demands of big data and artificial intelligence have intensified the need for energy efficient and physically informed computing paradigms, motivating the development of brain-inspired neuromorphic architectures that emulate key principles of information processing in the human brain. Luminescent materials with persistent and stimuli-responsive emission provide attractive platforms for light-based information encoding, memory, and processing. Here, we explore two complementary material strategies for neuromorphic photonic computing: a dual-emission persistent phosphorescent layer and lanthanide-based luminescent waveguides. T
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