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A perovskite-based artificial photonic synapse with visible light modulation and ultralow current for neuromorphic computing

Journal 2023 · IF 2.3 · 发表于 2023 年 3 月 15 日
作者: Shengjie Zhang,Yanfei Zhao,Qiulu Chen,Yang Wang,Jiandong Jiang,Yan Wang,Yujun Fu,Qiming Liu,Qi Wang,Deyan He
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摘要

Photonic artificial synapses have become favorable candidates for the basic architecture of neuromorphic computing systems due to their high bandwidth, low power consumption , and low crosstalk . However, work on visible light modulated synaptic devices with biological postsynaptic currents has rarely been reported. Herein, we report a photonic synaptic device operating at ultra-low currents. It employs perovskite CsPbI 2 Br as the light-absorbing layer and polymethyl methacrylate (PMMA) as the carrier blocking layer. The resulting device exhibits excellent visual cell simulation capability in the visible light range. An ultra-low post-synaptic current of picoampere level can be achieved with visible-light modulation, which is much lower than that of normal photonic synaptic devices. It also exhibited superior memory retention of over 1000 s and low power consumption of 4.25 pJ. Furthermore, the sensory memory (SM), short-term memory (STM), and long-term memory (LTM) are successfully simulated in visible light. An artificial neural network-based neuromorphic computing was also simulated, with the recognition accuracy of MNIST data reaching 95.99% for small digits and 95.34% for large digits. Overall, our work provides promising strategies for low-current photonic neuromorphic applications.

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