An Antagonistic Photovoltaic Memristor for Bioinspired Active Contrast Adaptation.
Guodong Gong, You Zhou, Ziyu Xiong, Tao Sun, Huaxin Li, Qingxiu Li, Wenyu Zhao, Guohua Zhang, Yongbiao Zhai, Ziyu Lv, Hongwei Tan, Ye Zhou, Su-Ting Han
Author Information
Guodong Gong: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
You Zhou: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Ziyu Xiong: Institute of Polymer Optoelectronic Materials and Devices, State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou, 510640, P. R. China.
Tao Sun: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Huaxin Li: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Qingxiu Li: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Wenyu Zhao: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Guohua Zhang: Key Laboratory of Physics and Technology for Advanced Batteries (Ministry of Education), College of Physics, Jilin University, Changchun, 130012, P. R. China.
Yongbiao Zhai: College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Ziyu Lv: College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Hongwei Tan: NanoSpin, Department of Applied Physics, Aalto University School of Science, P.O. Box 15100, Aalto, FI-00076, Finland.
Ye Zhou: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Su-Ting Han: Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, Kowloon, 999077, P. R. China. ORCID
Machine vision systems that consist of cameras and image-processing components for visual inspection and identification tasks play a critical role in various intelligent applications, including pilotless vehicles and surveillance systems. However, current systems usually possess a limited dynamic range and fixed photoresponsivity, restricting their capability of gaining high-fidelity images when encoding a high-contrast scene. Here, it is shown that a photovoltaic memristor incorporating two antagonistic photovoltaic junctions can autonomously adjust its response to varying light stimuli, enabling the amplification of shadows and inhibition of highlight saturation. Due to the dynamic photodoping effect at the p-n junction with an asymmetrical profile, the photocurrent polarities of the antagonistic memristor can be changed as the light intensity increases. The light-intensity-dependent switchable photovoltaic behaviors match Weber's law where photosensitivity is inversely proportional to the light stimuli. An 11 �� 11 memristor array is used to detect a high-contrast scene with light intensities ranging from 1 to 5 �� 10 ��W cm, achieving a similar active contrast adaptation performance compared with the human visual systems (less than 1.2 s at 94 dB). This work paves the way for innovative neuromorphic device designs and may lead to the development of state-of-the-art active visual adaptation photosensors.
