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Ga2O3 Optoelectronic Array with Solar-Blind Ultraviolet Perception for Neuron Spatiotemporal Integration and

Huangbai Liu1,2, Zehui Peng1, Lei Li3

  • 1School of Electronic and Computer Engineering, Guangdong Provincial Key Laboratory of In-Memory Computing Chips, Peking University, Shenzhen 518055, China.

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|October 23, 2025
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Summary
This summary is machine-generated.

This study introduces a novel Gallium Oxide (Ga2O3) optoelectronic neuromorphic device array for solar-blind light perception. The device mimics brain functions for artificial vision and enables low-power computing.

Keywords:
amorphous-Ga2O3brain-inspired forgetting computationlearning-experiencerelaxation-tunablesolar-blind ultraviolet perceptionspatiotemporal integration

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Area of Science:

  • Materials Science
  • Neuroscience
  • Optoelectronics

Background:

  • Optoelectronic neuromorphic devices are crucial for artificial vision.
  • Existing devices lack sensitivity in the solar-blind region (<280 nm), missing low-noise opportunities.
  • Wide-bandgap Gallium Oxide (Ga2O3) offers potential for solar-blind detection.

Purpose of the Study:

  • To develop an optoelectronic neuromorphic device array using Ga2O3 for solar-blind light perception.
  • To emulate biological visual synaptic plasticity and signal processing.
  • To explore applications in artificial vision, neuromorphic computing, and low-power sensing.

Main Methods:

  • Fabrication of a Ga2O3-based optoelectronic neuromorphic device array.
  • Stimulation with 254 nm light pulses to test device response.
  • Characterization of synaptic plasticity and postsynaptic current relaxation.
  • Development of a forgetting-based artificial neural network.

Main Results:

  • The Ga2O3 device array successfully perceives solar-blind optical signals.
  • Demonstrated emulation of biological synaptic plasticity and tunable relaxation characteristics.
  • Replication of spatiotemporal signal integration and processing via dendritic structures.
  • Implementation of a forgetting-based neural network for complex problem-solving with ultralow power.

Conclusions:

  • Established a novel optoelectronic neuromorphic system for solar-blind signal perception.
  • The Ga2O3 devices show potential for advanced neuromorphic computing and artificial vision.
  • The technology enables perception and memory of solar-blind ultraviolet images.
  • Broadened applications in low-power computing and intelligent sensing.