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

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 optoel...

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Main Authors: Wen Pan, Lai Wang, Jianshi Tang, Heyi Huang, Zhibiao Hao, Changzheng Sun, Bing Xiong, Jian Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
Format: Article
Language:English
Published: Nature Publishing Group 2025-01-01
Series:Light: Science & Applications
Online Access:https://doi.org/10.1038/s41377-025-01743-y
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author Wen Pan
Lai Wang
Jianshi Tang
Heyi Huang
Zhibiao Hao
Changzheng Sun
Bing Xiong
Jian Wang
Yanjun Han
Hongtao Li
Lin Gan
Yi Luo
author_facet Wen Pan
Lai Wang
Jianshi Tang
Heyi Huang
Zhibiao Hao
Changzheng Sun
Bing Xiong
Jian Wang
Yanjun Han
Hongtao Li
Lin Gan
Yi Luo
author_sort Wen Pan
collection DOAJ
description 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.
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institution Kabale University
issn 2047-7538
language English
publishDate 2025-01-01
publisher Nature Publishing Group
record_format Article
series Light: Science & Applications
spelling doaj-art-457a7d87a64a44cda412b5aa7306755d2025-01-19T12:39:13ZengNature Publishing GroupLight: Science & Applications2047-75382025-01-0114111110.1038/s41377-025-01743-yOptoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computingWen Pan0Lai Wang1Jianshi Tang2Heyi Huang3Zhibiao Hao4Changzheng Sun5Bing Xiong6Jian Wang7Yanjun Han8Hongtao Li9Lin Gan10Yi Luo11Department of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityBeijing National Research Center for Information Science and Technology (BNRist), Tsinghua UniversitySchool of Integrated Circuits, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityDepartment of Electronic Engineering, Tsinghua UniversityAbstract 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.https://doi.org/10.1038/s41377-025-01743-y
spellingShingle Wen Pan
Lai Wang
Jianshi Tang
Heyi Huang
Zhibiao Hao
Changzheng Sun
Bing Xiong
Jian Wang
Yanjun Han
Hongtao Li
Lin Gan
Yi Luo
Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing
Light: Science & Applications
title Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing
title_full Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing
title_fullStr Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing
title_full_unstemmed Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing
title_short Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing
title_sort optoelectronic array of photodiodes integrated with rrams for energy efficient in sensor computing
url https://doi.org/10.1038/s41377-025-01743-y
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