Lead-free perovskites-based photonic synaptic devices with zero electric energy consumption

Dandan HAO ¹Di YANG ²Haixia LIANG ³Jia HUANG ⁴Fukai SHAN¹

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作者信息

1. College of Electronics and Information,Qingdao University,Qingdao 266071,China
2. Key Laboratory of Biofuels,Qingdao Institute of Bioenergy and Bioprocess Technology,Chinese Academy of Sciences,Qingdao 266101,China
3. School of Materials Science and Engineering,Tongji University,Shanghai 201804,China
4. School of Materials Science and Engineering,Tongji University,Shanghai 201804,China;National Key Laboratory of Autonomous Intelligent Unmanned Systems,Tongji University,Shanghai 201804,China
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Abstract

The von Neumann bottleneck is a critical limitation in synaptic devices.Therefore,ar-tificial synaptic devices resembling biological neuromorphic synapses have been developed to overcome the von Neumann bottleneck.However,synaptic devices require voltages,which results in considerable energy consumption.Here,photonic synaptic devices with the vertical structure of indium tin oxide(ITO)/SnO2/Al2O3/CsBi3I10/Au are fabricated,which can work in the self-powered mode owing to the photovoltaic effect endowed by a vertical multilayer structure.Several fundamental synaptic functions,such as excitatory postsynaptic current,paired-pulse facilitation,short-term plasticity(STP),long-term plastic-ity(LTP),pulse-frequency-dependent plasticity,transition of STP to LTP,and the learning experience are emulated.Moreover,Morse-coded external light information is decoded by self-powered photonic synap-tic devices.The results indicate that self-powered photonic synaptic devices based on lead-free perovskites exhibit great potential for efficient neuromorphic computing and optical wireless communication.

Key words

photonic synaptic devices/lead-free perovskites/zero energy consumption/synaptic plasticity/Morse code

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基金项目

National Key Research and Development Program of China(2021YFA1101303)

National Key Research and Development Program of China(2019YFE0121800)

Science & Technology Foundation of Shanghai(20JC1415600)

National Natural Science Foundation of China(62074111)

National Natural Science Foundation of China(62088101)

Innovation Program of Shanghai Municipal Education Commission(2021-01-07-00-07-E00096)

Shanghai Municipal Science and Technology Major Project(2021SHZDZX0100)

Natural Science Foundation of Shandong Province(ZR2022QB009)

Natural Science Foundation of Shandong Province(ZR2022MF246)

出版年

2024

中国科学:信息科学(英文版)

中国科学院

中国科学:信息科学(英文版)

CSTPCDEI

影响因子：0.715

ISSN：1674-733X

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