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Reconfigurable optoelectronic memristive architecture based on doped nanowire array for in-memory parallel perception

Lingchen Liu1,2, Zhexin Li1,2, Yiqiang Zheng1

  • 1State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.

National Science Review
|November 12, 2025
PubMed
Summary

This study presents a novel reconfigurable optoelectronic memristive architecture (ROMA) for efficient in-sensor computation. The developed nanowire memristor enables advanced parallel perception and in-memory computing for artificial intelligence hardware.

Keywords:
in-memory computationlow optical energy consumptionoptoelectronic memristivepersistent photoconductivityreconfigurable architecture

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Area of Science:

  • Materials Science
  • Computer Engineering
  • Nanotechnology

Background:

  • Optimizing computational redundancy in artificial intelligence requires advanced hardware functional integration for emergent computing paradigms.
  • Device design for parallel perception and in-memory computing presents significant challenges.

Purpose of the Study:

  • To develop a state-of-the-art integrated functional memory for in situ parallel perception and in-sensor computation.
  • To demonstrate a reconfigurable optoelectronic memristive architecture (ROMA) based on a doped nanowire array.

Main Methods:

  • Fabrication of a memristor based on In2S3-XAsX exhibiting tunable optoelectronic properties via vacancy engineering.
  • Doping modulation to control memristive performance and photoconductive retention.
  • Monolithic integration of a nanowire array for parallel processing.

Main Results:

  • The In2S3-XAsX memristor showed favorable photoconductive retention and reconfigurable optoelectronic modulation.
  • A two-orders-of-magnitude improvement in discriminative state was achieved with double output signal sampling.
  • Recognition and encoding of 12-bit binary optical signals on a single column were demonstrated.

Conclusions:

  • The reconfigurable optoelectronic memristive architecture (ROMA) offers an efficient hardware foundation for highly parallel and distributed computational paradigms.
  • Vacancy engineering in In2S3-XAsX provides a pathway for tunable memristive properties.
  • This work advances in-sensor computation for artificial intelligence applications.