Skip to main navigation Skip to search Skip to main content

A Self-Powered Organic Vision Sensor Array for Photopic Adaptation

  • East China Normal University
  • Shanghai Center of Brain-inspired Intelligent Materials and Devices
  • CAS - Shanghai Institute of Technical Physics
  • Fudan University
  • Shanxi University

Research output: Contribution to journalArticlepeer-review

Abstract

With the rapid development of artificial intelligence, it is essential to develop a bionic vision sensor that boasts low power consumption, self-adaptability, and broadband sensing for efficient image preprocessing. We employed an organic p-type semiconductor, poly(3-hexylthiophene-2,5-diyl) (P3HT), in conjunction with an Al electrode to engineer a Schottky junction. This design leverages the photogating effect due to the charge trapping by defects at the P3HT/Al interface, endowing this self-powered, two-terminal device with photopic adaptability. The 1.9 eV bandgap of P3HT enables substantial light absorption within the visible spectrum, yielding a significant photocurrent. By assembling 50 photoelectric sensors into a 10 × 5 array, we successfully demonstrated an image formation process that emulates photopic adaptation, specifically in recognizing letters. This easily fabricated, self-powered retinomorphic photoelectric device has great potential to mimic retinal structures, thereby heralding a new frontier in visual sensory devices.

Original languageEnglish
Pages (from-to)2878-2886
Number of pages9
JournalNano Letters
Volume25
Issue number7
DOIs
StatePublished - 19 Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Artificial synapse
  • Photopic adaptation
  • Photovoltaic effect
  • Short-term plasticity

Fingerprint

Dive into the research topics of 'A Self-Powered Organic Vision Sensor Array for Photopic Adaptation'. Together they form a unique fingerprint.

Cite this