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Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus.

Shi Zhang1,2,3, Shuguang Zhu1, Shijian Tian1

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We developed a novel phototransistor using black arsenic-phosphorus that mimics human neural responses. This device enables advanced polarization imaging and neuromorphic computing for enhanced vision systems.

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Area of Science:

  • Materials Science
  • Neuroscience
  • Optoelectronics

Background:

  • Polarization-sensitive vision systems offer advantages in glare reduction and clarity.
  • Neuromorphic computing aims to mimic human neural functions for advanced processing.
  • Existing systems face challenges in complex lighting and data interpretation.

Purpose of the Study:

  • To develop a polarization-sensitive neuromorphic phototransistor for advanced vision applications.
  • To investigate the synaptic behaviors and plasticity of the phototransistor.
  • To demonstrate its capabilities in image classification, reconstruction, and polarization-resolved imaging.

Main Methods:

  • Fabrication of a phototransistor using black arsenic-phosphorus (BaP) 2D nanosheets.
  • Characterization of optoelectronic properties, including responsivity and polarization ratio.
  • Simulation of synaptic behaviors and plasticity through gate voltage and polarization control.
  • Development of a hybrid optical-electronic neural network for image tasks.
  • Implementation of polarization-resolved imaging for target reconstruction.

Main Results:

  • The BaP phototransistor exhibited high responsivity (2.88 A/W), polarization ratio (4.7), and dynamic range (40 dB).
  • Device successfully simulated synaptic behaviors with paired-pulse facilitation up to 201% and demonstrated gate-tunable plasticity.
  • Achieved >90% classification accuracy on Fashion-MNIST and 71.38% reconstruction accuracy on Yale Face Database.
  • Demonstrated high-fidelity reconstruction of hidden targets using polarization-resolved imaging.

Conclusions:

  • The BaP phototransistor serves as a foundational platform for high-performance neuromorphic vision systems.
  • Integrated polarization imaging, computation, and communication functionalities are enabled.
  • Addresses critical challenges in scalable brain-inspired optoelectronic technologies.