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

作　　者：Wen Pan Lai Wang Jianshi Tang Heyi Huang Zhibiao Hao Changzheng Sun Bing Xiong Jian Wang Yanjun Han Hongtao Li Lin Gan Yi Luo 

机构地区：[1]Department of Electronic Engineering,Tsinghua University,Bejing,China [2]Beijing National Research Center for Information Science and Technology(BNRist),Tsinghua University,Beijing 100084,China [3]Schoolof Integrated Circuits,TsinghuaUniversity,Beijing 100084,China

出　　处：《Light(Science & Applications)》2025年第2期430-440,共11页光(科学与应用)(英文版)

基　　金：the National Key Research and Development Program(2021YFA0716400);the National Natural Science Foundation of China(62225405,62350002,61991443,62127814,62235005,and 61927811);the Collaborative Innovation Center of Solid-State Lighting and Energy-Saving Electronics。

摘　　要：The rapid development of internet of things(loT)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-effcient in-sensor computing primitive for future IoT applications.

关 键 词：optoelectronic array internet things lot urgently RRAMs sensor computing edge miniaturized computing devices IoT photodiodes 

分 类 号：TN36[电子电信—物理电子学] TN3