Smart phosphor with neuromorphic behaviors enabling full-photoluminescent Write and Read for all-optical physical reservoir computing
- PMID: 40804062
- PMCID: PMC12350936
- DOI: 10.1038/s41467-025-62745-3
Smart phosphor with neuromorphic behaviors enabling full-photoluminescent Write and Read for all-optical physical reservoir computing
Abstract
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.
© 2025. The Author(s).
Conflict of interest statement
Competing interests: The authors declare no competing interests.
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References
-
- Wetzstein, G. et al. Inference in artificial intelligence with deep optics and photonics. Nature588, 39–47 (2020). - PubMed
-
- Mehonic, A. & Kenyon, A. J. Brain-inspired computing needs a master plan. Nature604, 255–260 (2022). - PubMed
-
- Cai, H. et al. Brain organoid reservoir computing for artificial intelligence. Nat. Electron.6, 1032–1039 (2023).
-
- Zhang, W. et al. The development of general-purpose brain-inspired computing. Nat. Electron.7, 954–965 (2024).
Grants and funding
- 52233014/National Natural Science Foundation of China (National Science Foundation of China)
- 52072126/National Natural Science Foundation of China (National Science Foundation of China)
- 1-CE0H/Hong Kong Polytechnic University (Hong Kong PolyU)
- 1-CD7V/Hong Kong Polytechnic University (Hong Kong PolyU)
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