光电二极管光电阵列与 RRAM 集成,用于高能效传感器内计算

IF 20.6 Q1 OPTICS
Wen Pan, Lai Wang, Jianshi Tang, Heyi Huang, Zhibiao Hao, Changzheng Sun, Bing Xiong, Jian Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
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引用次数: 0

摘要

物联网的快速发展迫切需要高效、低功耗的边缘小型化计算设备。传感器内计算已经成为一种有前途的技术,可以在传感器阵列内进行原位数据处理。在这里,我们报告了一种光电阵列,通过将光电二极管(pd)与电阻随机存取存储器(rram)集成在传感器内计算。通过将PD-RRAM编程为不同的电阻状态,PD-RRAM单元具有可重构的光电输出和光响应性。此外,制作了一个3 × 3的PD-RRAM阵列来演示光学图像识别,实现了具有超低延迟和低功耗的通用架构。这项研究强调了PD-RRAM光电阵列作为未来物联网应用中节能传感器内计算原语的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing

Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing

The rapid development of internet of things (IoT) urgently needs edge miniaturized computing devices with high efficiency and low-power consumption. In-sensor computing has emerged as a promising technology to enable in-situ data processing within the sensor array. Here, we report an optoelectronic array for in-sensor computing by integrating photodiodes (PDs) with resistive random-access memories (RRAMs). The PD-RRAM unit cell exhibits reconfigurable optoelectronic output and photo-responsivity by programming RRAMs into different resistance states. Furthermore, a 3 × 3 PD-RRAM array is fabricated to demonstrate optical image recognition, achieving a universal architecture with ultralow latency and low power consumption. This study highlights the great potential of the PD-RRAM optoelectronic array as an energy-efficient in-sensor computing primitive for future IoT applications.

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来源期刊
Light-Science & Applications
Light-Science & Applications 数理科学, 物理学I, 光学, 凝聚态物性 II :电子结构、电学、磁学和光学性质, 无机非金属材料, 无机非金属类光电信息与功能材料, 工程与材料, 信息科学, 光学和光电子学, 光学和光电子材料, 非线性光学与量子光学
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审稿时长
2.1 months
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