Nature Communications (Mar 2022)
Ferroelectric photosensor network: an advanced hardware solution to real-time machine vision
- Boyuan Cui,
- Zhen Fan,
- Wenjie Li,
- Yihong Chen,
- Shuai Dong,
- Zhengwei Tan,
- Shengliang Cheng,
- Bobo Tian,
- Ruiqiang Tao,
- Guo Tian,
- Deyang Chen,
- Zhipeng Hou,
- Minghui Qin,
- Min Zeng,
- Xubing Lu,
- Guofu Zhou,
- Xingsen Gao,
- Jun-Ming Liu
Affiliations
- Boyuan Cui
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Zhen Fan
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Wenjie Li
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Yihong Chen
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Shuai Dong
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Zhengwei Tan
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Shengliang Cheng
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Bobo Tian
- Key Laboratory of Polar Materials and Devices, Ministry of Education, East China Normal University
- Ruiqiang Tao
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Guo Tian
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Deyang Chen
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Zhipeng Hou
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Minghui Qin
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Min Zeng
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Xubing Lu
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Guofu Zhou
- National Center for International Research on Green Optoelectronics, South China Normal University
- Xingsen Gao
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- Jun-Ming Liu
- Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University
- DOI
- https://doi.org/10.1038/s41467-022-29364-8
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 12
Abstract
Robust, fast, and low-power hardware platforms are desirable for the implementation of real-time machine vision. Here the authors develop a computing-in-sensor network using ferroelectric photo sensors with remanent-polarization-controlled photo responsivities.
