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

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

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
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.

photonic synaptic deviceslead-free perovskiteszero energy consumptionsynaptic plasticityMorse code

Dandan HAO、Di YANG、Haixia LIANG、Jia HUANG、Fukai SHAN

展开 >

College of Electronics and Information,Qingdao University,Qingdao 266071,China

Key Laboratory of Biofuels,Qingdao Institute of Bioenergy and Bioprocess Technology,Chinese Academy of Sciences,Qingdao 266101,China

School of Materials Science and Engineering,Tongji University,Shanghai 201804,China

National Key Laboratory of Autonomous Intelligent Unmanned Systems,Tongji University,Shanghai 201804,China

展开 >

National Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaScience & Technology Foundation of ShanghaiNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaInnovation Program of Shanghai Municipal Education CommissionShanghai Municipal Science and Technology Major ProjectNatural Science Foundation of Shandong ProvinceNatural Science Foundation of Shandong Province

2021YFA11013032019YFE012180020JC141560062074111620881012021-01-07-00-07-E000962021SHZDZX0100ZR2022QB009ZR2022MF246

2024

10.1007/s11432-023-3835-4

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
年,卷(期)：2024.67(6)