Light-Controlled Reconfigurable Optical Synapse Based on Carbon Nanotubes/2D Perovskite Heterostructure for Image Recognition,ACS Applied Materials & Interfaces

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Light-Controlled Reconfigurable Optical Synapse Based on Carbon Nanotubes/2D Perovskite Heterostructure for Image Recognition
ACS Applied Materials & Interfaces ( IF 8.3 ) Pub Date : 2022-06-09 , DOI: 10.1021/acsami.2c05818
Yu-Tao Li _{1,

2} , Jun-Ze Li ₃ , Li Ren ₄ , Kui Xu ₅ , Sheng Chen ₁ , Lei Han ₁ , Hang Liu ₁ , Xiao-Liang Guo ₁ , Du-Li Yu ₁ , De-Hui Li ₃ , Li Ding ₄ , Lian-Mao Peng ₄ , Tian-Ling Ren ₂

Affiliation

Two-dimensional (2D) halide perovskite material is characterized by a mixed conducting behavior that possesses both electronic and ionic conductivity. The study on the influence of the light on ion migration in the 2D perovskite is helpful to improve the performance of perovskite-based optoelectronic devices. Here, we constructed an exfoliated 2D perovskite/carbon nanotubes (CNTs) heterostructure optical synapse, in which CNTs can be used as nanoprobes to qualitatively observe the ion aggregation or dissipation process in 2D perovskite, and found that light significantly changes the memory curve of the reconfigurable optical synapses. Through the molecular dynamic simulation, the dynamic process of ion migration in the heterostructure was simulated and the electrostatic interaction effect of nonequilibrium charge distribution of CNTs on iodide ion was demonstrated. Finally, an effective light-controlled process was realized through the synapses, which in situ regulated the performance of the weight-value discretized BP (WD-BP) neural network. This work lays a foundation for the future development of intelligent nano-optoelectronic devices.

中文翻译：

基于碳纳米管/二维钙钛矿异质结构的光控可重构光学突触用于图像识别

二维（2D）卤化物钙钛矿材料的特征在于具有电子和离子导电性的混合导电行为。研究光对二维钙钛矿中离子迁移的影响有助于提高钙钛矿基光电器件的性能。在这里，我们构建了一个剥离的二维钙钛矿/碳纳米管 (CNTs) 异质结构光学突触，其中 CNTs 可以作为纳米探针来定性观察二维钙钛矿中的离子聚集或耗散过程，并发现光显着改变了钙钛矿的记忆曲线。可重构的光学突触。通过分子动力学模拟，模拟了异质结构中离子迁移的动态过程，论证了碳纳米管非平衡电荷分布对碘离子的静电相互作用效应。最后，通过突触实现了一个有效的光控过程，该过程原位调节了权值离散化 BP (WD-BP) 神经网络的性能。该工作为未来智能纳米光电器件的发展奠定了基础。

更新日期：2022-06-09

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