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

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

Abstract

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.

Abstract Image

光电二极管光电阵列与 RRAM 集成,用于高能效传感器内计算
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。
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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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803
审稿时长
2.1 months
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