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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Format: | Article |
Language: | English |
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Nature Publishing Group
2025-01-01
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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. |
format | Article |
id | doaj-art-457a7d87a64a44cda412b5aa7306755d |
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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