神经形态工程学
荧光粉
计算机科学
油藏计算
光致发光
按需
光电子学
材料科学
纳米技术
多媒体
人工智能
人工神经网络
循环神经网络
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
标识
DOI:10.1038/s41467-025-62745-3
摘要
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.
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