Zhanfeng Wang, Chang Liu, Jingchao Xiao, Zhen Zhao, Jiahe Zhang, Shihao Wang, Changhao Liu, Tuo Shi, Honglai Li, Xiaobing Yan
{"title":"High-Robustness, Compact Bi2O2Se-Based NIR Retinal Sensor for Bionic Vision Systems","authors":"Zhanfeng Wang, Chang Liu, Jingchao Xiao, Zhen Zhao, Jiahe Zhang, Shihao Wang, Changhao Liu, Tuo Shi, Honglai Li, Xiaobing Yan","doi":"10.1021/acsphotonics.4c02322","DOIUrl":null,"url":null,"abstract":"The near-infrared (NIR) vision system has demonstrated unique advantages in bionic vision, particularly excelling in low-light and complex environments. The retinal sensor, as the core input component of the bionic vision system, is critical to the overall performance of the system. Nevertheless, significant obstacles persist in achieving high robustness and high integration. Here, the study develops a dual-terminal optoelectronic detector based on an Au/Cr/Bi<sub>2</sub>O<sub>2</sub>Se/Cr/Au structure. Benefiting from high-quality Bi<sub>2</sub>O<sub>2</sub>Se nanosheets, the device exhibits a high photoresponsivity of 1.8 × 10<sup>3</sup> A/W, a specific detectivity of 3.14 × 10<sup>11</sup> Jones, and an external quantum efficiency of 2.47 × 10<sup>5</sup>% at a wavelength of 915 nm. Furthermore, we developed a retinal sensor based on photodetectors. The exceptional photoresponsivity of the Bi<sub>2</sub>O<sub>2</sub>Se photodetectors significantly enhanced the robustness of the sensor. Additionally, we proposed a dual-mode architecture, offering a 72% reduction in the number of core components compared to traditional retinal sensor designs. More importantly, we apply the retinal sensor model to a bionic vision system, successfully achieving vehicle position recognition and gesture recognition tasks. This work provides a novel approach for designing next-generation retinal sensors, further advancing the development of bionic vision technology.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":"25 1","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Photonics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1021/acsphotonics.4c02322","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The near-infrared (NIR) vision system has demonstrated unique advantages in bionic vision, particularly excelling in low-light and complex environments. The retinal sensor, as the core input component of the bionic vision system, is critical to the overall performance of the system. Nevertheless, significant obstacles persist in achieving high robustness and high integration. Here, the study develops a dual-terminal optoelectronic detector based on an Au/Cr/Bi2O2Se/Cr/Au structure. Benefiting from high-quality Bi2O2Se nanosheets, the device exhibits a high photoresponsivity of 1.8 × 103 A/W, a specific detectivity of 3.14 × 1011 Jones, and an external quantum efficiency of 2.47 × 105% at a wavelength of 915 nm. Furthermore, we developed a retinal sensor based on photodetectors. The exceptional photoresponsivity of the Bi2O2Se photodetectors significantly enhanced the robustness of the sensor. Additionally, we proposed a dual-mode architecture, offering a 72% reduction in the number of core components compared to traditional retinal sensor designs. More importantly, we apply the retinal sensor model to a bionic vision system, successfully achieving vehicle position recognition and gesture recognition tasks. This work provides a novel approach for designing next-generation retinal sensors, further advancing the development of bionic vision technology.
期刊介绍:
Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.