A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr-CsPbI3 Nanocrystals for Visuomorphic Computing,Advanced Materials

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A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr-CsPbI3 Nanocrystals for Visuomorphic Computing
Advanced Materials ( IF 27.4 ) Pub Date : 2023-01-09 , DOI: 10.1002/adma.202208497
He Shao ₁ , Yueqing Li ₁ , Wei Yang ₁ , Xiang He ₁ , Le Wang ₁ , Jingwei Fu ₁ , Mingyang Fu ₁ , Haifeng Ling _{1,

2} , Paschalis Gkoupidenis ₂ , Feng Yan ₃ , Linghai Xie ₁ , Wei Huang _{1,

4}

Affiliation

Reconfigurable phototransistor memory attracts considerable attention for adaptive visuomorphic computing, with highly efficient sensing, memory, and processing functions integrated onto a single device. However, developing reconfigurable phototransistor memory remains a challenge due to the lack of an all-optically controlled transition between short-term plasticity (STP) and long-term plasticity (LTP). Herein, an air-stable Zr-CsPbI₃ perovskite nanocrystal (PNC)-based phototransistor memory is designed, which is capable of broadband photoresponses. Benefitting from the different electron capture ability of Zr-CsPbI₃ PNCs to 650 and 405 nm light, an artificial synapse and non-volatile memory can be created on-demand and quickly reconfigured within a single device for specific purposes. Owing to the optically reconfigurable and wavelength-aware operation between STP and LTP modes, the integrated blue feature extraction and target recognition can be demonstrated in a homogeneous neuromorphic vision sensor array. This work suggests a new way in developing perovskite optoelectronic transistors for highly efficient in-sensor computing.

中文翻译：

用于视觉计算的具有稳定 Zr-CsPbI3 纳米晶体的可重构光电突触晶体管

可重构光电晶体管存储器在自适应可视化计算方面引起了相当大的关注，将高效的传感、存储和处理功能集成到单个设备上。然而，由于缺乏短期可塑性 (STP) 和长期可塑性 (LTP) 之间的全光控制转换，开发可重构光电晶体管存储器仍然是一个挑战。在此，设计了一种基于空气稳定的 Zr-CsPbI ₃钙钛矿纳米晶体 (PNC) 的光电晶体管存储器，它能够进行宽带光响应。得益于Zr-CsPbI _{3不同的电子捕获能力}PNCs 到 650 和 405 nm 光，人工突触和非易失性存储器可以按需创建并在单个设备中快速重新配置以用于特定目的。由于 STP 和 LTP 模式之间的光学可重构和波长感知操作，集成的蓝色特征提取和目标识别可以在同质神经形态视觉传感器阵列中得到证明。这项工作提出了一种开发用于高效传感器内计算的钙钛矿光电晶体管的新方法。

更新日期：2023-01-09

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