Multimodal Tuning of Synaptic Plasticity Using Persistent Luminescent Memitters


Mimicking memory processes, including encoding, storing, and retrieving information, is critical for neuromorphic computing and artificial intelligence. Synaptic behavior simulations through electronic, magnetic, or photonic devices based on metal oxides, 2D materials, molecular complex and phase change materials, represent important strategies for performing computational tasks with enhanced power efficiency. Here, a special class of memristive materials based on persistent luminescent memitters (termed as a portmanteau of memory and emitter) with optical characteristics closely resembling those of biological synapses is reported. The memory process and synaptic plasticity can be successfully emulated using such memitters under precisely controlled excitation frequency, wavelength, pulse number, and power density. The experimental and theoretical data suggest that electron-coupled trap nucleation and propagation through clustering in persistent luminescent memitters can explain experience-dependent plasticity. The use of persistent luminescent memitters for multichannel image memorization that allows direct visualization of subtle changes in luminescence intensity and realization of short-term and long-term memory is also demonstrated. These findings may promote the discovery of new functional materials as artificial synapses and enhance the understanding of memory mechanisms.




Chemistry; Science & Technology - Other Topics; Materials Science; Physics


Bian, HY; Qin, X; Wu, YM; Yi, ZG; Liu, SR; Wang, Y; Brites, CDS; Carlos, LD; Liu, XG

nossos autores


The authors thank the Ministry of Education, Singapore (MOE2017-T2-2-110), Agency for Science, Technology, and Research (A*STAR) under its AME program (Grant No. A1883c0011 and A1983c0038), National Research Foundation, the Prime Minister's Office of Singapore under its NRF Investigatorship Programme (Award No. NRF-NRFI05-2019-0003), the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2018-CRG7-3736, and the National Natural Science Foundation of China (21771135, 21871071). C.D.S.B. and L.C. acknowledge the project CICECO-Aveiro Institute of Materials, UIDB/50011/2020 and UIDP/50011/2020, financed by Portuguese funds through the FCT/MEC and when appropriate co-financed by DFEDER under the PT2020 Partnership Agreement. The authors acknowledge Professor X. Chen and Dr. M. A. Hernandez-Rodriguez for helpful discussion.

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