4.8 Article

Methylammonium halide-doped perovskite artificial synapse for light-assisted environmental perception and learning

期刊

MATERIALS TODAY PHYSICS
卷 21, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.mtphys.2021.100540

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资金

  1. Tianjin Science Foundation for Distinguished Young Scholars [19JCJQJC61000]
  2. Guangdong Key RD Project [2018B030338001]
  3. Hundred Young Academic Leaders Program of Nankai University [2122018218]
  4. Natural Science Foundation of Tianjin [18JCYBJC16000, 17JCYBJC41400]
  5. National Natural Science Foundation of China [51573036, 61874167]
  6. Fundamental Research Funds for Central Universities of China
  7. National Key R&D Program of China [2018YFB1500105]
  8. 111 Project [B16027]
  9. International Cooperation Base [2016D01025]
  10. Tianjin International Joint Research and Development Center
  11. Tianjin Research Innovation Project for Postgraduate Students [2020YJSB009]

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This study demonstrated a methylammonium halide-doped perovskite artificial synapse, which can achieve a wider range of synaptic plasticity regulation and utilize light irradiation to realize important synaptic functions, high-order learning behaviors, and higher pattern recognition accuracy.
Optoelectronic synapses that integrate and process light and electric signals simultaneously received giant attention for the development of artificial visual system. However, to mimic robust perception and processing ability of biological vision demands exceptional photoresponse and tunable plasticity of the optoelectronic synaptic units. Herein, we demonstrated a Methylammonium (MA) halide-doped perovskite artificial synapse. The introduction of MA halide additives into formamidinium lead iodide (FAPbI(3)) can effectively improve the film morphology and crystallinity, leading to a wider regulatory range of synaptic plasticity. The effect of light irradiation on shaping synaptic plasticity was revealed to realize important synaptic functions. With the assistance of light stimuli, high-order learning behaviors have been achieved, including dynamic logic operation and conditioned reflex. A higher pattern recognition accuracy (88.2%) of handwritten digits was achieved in simulation. Moreover, the correlation between light irradiation and the hybrid perovskite-based artificial synapse can be utilized to perceive environmental change and to tune information processing efficiency. These results provide a new strategy for constructing future artificial intelligent system. (C) 2021 Elsevier Ltd. All rights reserved.

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