Zhao Yifei, Li Man, Wong Man Chung, Han Xun, Guo Feng, Liu Yuan, Lao Xinyue, Dang Zhaoying, Pang Sin-Yi, Wu Zehan, Ye Shi, Hao Jianhua
Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, PR China.
State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Fiber Laser Materials and Applied Techniques, South China University of Technology, Guangzhou, PR China.
Nat Commun. 2025 Aug 13;16(1):7516. doi: 10.1038/s41467-025-62745-3.
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 YO:Eu 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.
各种媒体中信息的空前增长推动了对超越传统电学范式的多功能材料和器件的迫切需求。这项工作探索了基于智能磷光体的光致发光功能的全光信息处理。所开发的混合卤化物钙钛矿嵌入大孔YO:Eu复合磷光体表现出具有神经形态特征的自适应光致发光变化。理论模拟揭示了具有逐渐演变的能垒的界面介导的卤素迁移过程,这是神经元样光致发光特性变化的基础。该系统实现了用于全光神经形态计算的基于光致发光的完整写入和读取功能,作为物理存储库实现了4位二进制序列辨别。它还展示了基于光致发光的指纹认证潜力,准确率达94.4%。这项工作推动了智能磷光体作为一种通过光刺激和光输出进行神经形态计算的替代方法。它还为设计具有定制特性的面向功能的磷光体材料开辟了道路,用于信息科学和人工智能应用。