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Dual-Mode Conversion of Photodetector and Neuromorphic Vision Sensor via Bias Voltage Regulation on a Single Device.
Feng, Siyu; Li, Jiangxu; Feng, Lizhi; Liu, Zitong; Wang, Junchao; Cui, Cong; Zhou, Ouxiang; Deng, Lijie; Xu, Hanning; Leng, Bing; Chen, Xing-Qiu; Jiang, Xin; Liu, Baodan; Zhang, Xinglai.
Afiliação
  • Feng S; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Li J; School of Materials Science and Engineering, University of Science and Technology of China, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Feng L; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Liu Z; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Wang J; School of Material Science and Engineering, Northeastern University, No.11 Wenhua Road, Shenyang, 110819, China.
  • Cui C; Foshan Graduate School of Innovation, Northeastern University, No. 2, Zhihui Road, Foshan, 528300, China.
  • Zhou O; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Deng L; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Xu H; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Leng B; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Chen XQ; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Jiang X; School of Material Science and Engineering, Northeastern University, No.11 Wenhua Road, Shenyang, 110819, China.
  • Liu B; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang, 110016, China.
  • Zhang X; Department of Plastic Surgery, The First Affiliated Hospital of China Medical University, No. 155 North Nanjing Street, Shenyang, 110001, China.
Adv Mater ; 35(49): e2308090, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37813402
ABSTRACT
Simultaneous implementation of photodetector and neuromorphic vision sensor (NVS) on a single device faces a great challenge, due to the inherent speed discrepancy in their photoresponse characteristics. In this work, a trench-bridged GaN/Ga2 O3 /GaN back-to-back double heterojunction array device is fabricated to enable the advanced functionalities of both devices on a single device. Interestingly, the device shows fast photoresponse and persistent photoconductivity behavior at low and high voltages, respectively, through the modulation of oxygen vacancy ionization and de-ionization processes in Ga2 O3 . Consequently, the role of the optoelectronic device can be altered between the photodetector and NVS by simply adjusting the magnitude of bias voltage. As a photodetector, the device is able to realize fast optical imaging and optical communication functions. On the other hand, the device exhibits outstanding image sensing, image memory, and neuromorphic visual pre-processing as an NVS. The utilization of NVS for image pre-processing leads to a noticeable enhancement in both recognition accuracy and efficiency. The results presented in this work not only offer a new avenue to obtain complex functionality on a single optoelectronic device but also provide opportunities to implement advanced robotic vision systems and neuromorphic computing.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Adv Mater Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Adv Mater Ano de publicação: 2023 Tipo de documento: Article