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Spectrally Defined Bipolar Black Phosphorus Memristor Enables All-Optical Boolean Logic and Multispectral Computing.

Shanwu Ke1,2,3, Yang Li2, Yuanduo Qu2

  • 1International School of Integrated Circuit, Dongguan University of Technology, Dongguan, P. R. China.

Advanced Materials (Deerfield Beach, Fla.)
|March 25, 2026
PubMed
Summary
This summary is machine-generated.

This study presents a novel optoelectronic memristor using lead oxide-coated black phosphorus. It achieves wavelength-tunable photoresponses for advanced neuromorphic computing and all-optical logic operations.

Keywords:
Boolean logicall‐optical devicebipolarityblack phosphorusmultispectral image processingoptoelectronic memristor

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Area of Science:

  • Materials Science
  • Optoelectronics
  • Nanotechnology

Background:

  • Optoelectronic memristors are crucial for in-sensor vision-centric neuromorphic hardware.
  • Achieving wavelength-defined polarity inversion across a broad spectrum is a significant challenge.

Purpose of the Study:

  • To demonstrate a stable optoelectronic memristor with programmable polar photoresponses.
  • To explore its capabilities in all-optical Boolean logic operations and multispectral computing.

Main Methods:

  • Fabrication of a heterostructure memristor using nonstoichiometric lead oxide (PbOₓ) coated black phosphorus (BP) nanosheets.
  • Investigating optoelectronic processes across a broad wavelength range (365 nm - 1,550 nm).
  • Utilizing photoelectrochemical and photothermal effects for polarity control.

Main Results:

  • Programmable polar photoresponses achieved across the 365 nm - 1,550 nm spectrum.
  • Demonstrated all-optical Boolean logic operations, realizing 14 binary functions.
  • Achieved high classification accuracy (up to 98.6%) for crop species using an all-optical convolutional neural network.

Conclusions:

  • The PbOₓ-BP heterostructure enables effective surface modification for 2D devices.
  • The demonstrated optoelectronic bipolarity provides a framework for all-optical modulation in neuromorphic machine vision.
  • This work advances the development of advanced optoelectronic devices for future computing applications.