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A Three-Dimensional Neuromorphic Photosensor Array for Nonvolatile In-Sensor Computing.

Yanrong Wang1,2, Yuchen Cai1,2, Feng Wang1,2

  • 1CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, National Center for Nanoscience and Technology, Beijing 100190, China.

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|May 11, 2023
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Summary

This study introduces a 3D neuromorphic photosensor array for efficient in-sensor image processing. This novel hardware reduces data and power consumption, advancing machine vision capabilities.

Keywords:
3D integrationin-sensor computingion migrationreconfigurable photovoltaic effect

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Area of Science:

  • Materials Science
  • Neuromorphic Engineering
  • Computer Vision

Background:

  • Emerging reconfigurable photosensors offer reduced data redundancy and power consumption for machine vision.
  • Current 2D architectures face limitations in time and area efficiency due to complex structures and low integration.

Purpose of the Study:

  • To propose and demonstrate a three-dimensional (3D) neuromorphic photosensor array for parallel in-sensor image processing.
  • To enhance time and area efficiencies in machine vision hardware.

Main Methods:

  • Fabrication of a vertical Graphite/CuInP2S6/Graphite photosensor unit.
  • Utilizing directional Cu+ ion migrations for reconfigurable photovoltaic effects and in-sensor computing.
  • Development of a 10x10 array for intelligent image recognition and a 3D 3x3x3 array for in-sensor convolution.

Main Results:

  • Demonstrated memristor-like device structure with van der Waals interfaces.
  • Achieved high uniformity and low crosstalk in the fabricated array.
  • Successfully implemented an in-sensor convolution strategy with high time and area efficiencies using the 3D array.

Conclusions:

  • The proposed 3D neuromorphic photosensor array enables efficient parallel in-sensor image processing.
  • This technology significantly improves time and area efficiencies for machine vision applications.
  • The device's reconfigurable photovoltaic effect and in-sensor computing capability pave the way for advanced intelligent systems.