Smart phosphor with neuromorphic behaviors enabling full-photoluminescent Write and Read for all-optical physical reservoir computing

作者：Yifei Zhao, Man Li, Man‐Chung Wong, Xun Han, Feng Guo, Yuan Liu, Xinyue Lao, Zhaoying Dang, Sin‐Yi Pang, Zehan Wu, Shi Ye, Jianhua Hao · 发表于：Nature Communications · 年份：2025 · DOI：10.1038/s41467-025-62745-3 · 被引用次数：18 · 研究领域：Neural Networks and Reservoir Computing、Advanced Memory and Neural Computing、Photoreceptor and optogenetics research

The unprecedented growth in information across diverse media drives an urgent need for multifunctional materials and devices beyond conventional electrical paradigms. This work explores all-optical information processing based on photoluminescence functions using smart phosphor. The developed composite phosphor of mixed-halide perovskite embedded macroporous Y2O3:Eu3+ exhibits adaptive photoluminescence variations with neuromorphic characteristics. Theoretical simulations reveal interface-mediated halogen migration processes with progressively evolving energy barriers, underpinning the neuron-like photoluminescence property variations. The system enables full photoluminescence-based Write and Read functionalities for all-optical neuromorphic computing, achieving 4-bit binary sequence discrimination as physical reservoirs. It further demonstrates potential in photoluminescence-based fingerprint authentication with 94.4% accuracy. This work advances smart phosphor as an alternative approach to neuromorphic computing with optical-stimuli and optical-output. It also opens avenues for designing function-oriented phosphor materials with tailored properties for information science and artificial intelligence applications. Zhao et al. report a smart phosphor that exhibits adaptive light-induced photoluminescence variation and dark recovery with non-destructive readout functions. It mimics synaptic behaviors in a full-photoluminescent manner, enabling an alternative way of all-optical...