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

Shi Zhang; Shuguang Zhu; Shijian Tian; Libo Zhang; Cheng Chen; Kening Xiao; Wenqi Mo; Shicong Hou; Yunduo Zhang; Yuanfeng Wen; Yiran Tan; Kaixuan Zhang; Jiayue Han; Changlong Liu; Jiale He; Weiwei Tang; Jun Wang; Guanhai Li; Kai Zhang; Lin Wang; Xiaoshuang Chen

doi:10.1038/s41377-025-02125-0

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

Original Articles

- Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus
- Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus
- Light: Science & Applications 2026年15卷第4期页码：1146-1159
- Affiliations：
  
  1.College of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, No. 1, Sub-Lane Xiangshan, Xihu District, Hangzhou 310024, China
  2.State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu-Tian Road, Shanghai 200083, China
  3.Key Laboratory of Semiconductor Display Materials and Chips & i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences, Suzhou 215123, China
  4.Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
  5.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
  6.Suzhou Laboratory, Suzhou, Jiangsu 215000, China
- Author bio：
  
  Libo Zhang (zhanglibo@ucas.ac.cn)
  Guanhai Li (ghli0120@mail.sitp.ac.cn)
  Lin Wang (wanglin@mail.sitp.ac.cn)
  Xiaoshuang Chen (xschen@mail.sitp.ac.cn)
- Funds：
- DOI：10.1038/s41377-025-02125-0
  中图分类号：
- 收稿：2025-05-12，
  
  修回：2025-10-30，
  
  录用：2025-11-05，
  
  网络首发：2026-02-02，
  
  纸质出版：2026-04-30
- Accepted：
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Shi Zhang, Shuguang Zhu, Shijian Tian, 等. Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus[J]. Light: Science & Applications, 2026,15(4):1146-1159.

Zhang, S. et al. Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus. Light: Science & Applications, 15, 1146-1159 (2026).
Shi Zhang, Shuguang Zhu, Shijian Tian, 等. Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus[J]. Light: Science & Applications, 2026,15(4):1146-1159. DOI： 10.1038/s41377-025-02125-0.

Zhang, S. et al. Polarization-sensitive neuromorphic vision sensing enabled by pristine black arsenic-phosphorus. Light: Science & Applications, 15, 1146-1159 (2026). DOI： 10.1038/s41377-025-02125-0.

摘要

Abstract

Polarization-sensitive neuromorphic vision sensing excels in distinguishing light polarization states

offering intrinsic advantages in reducing glare and enhancing visual clarity in complex lighting environments

enabling advanced applications in autonomous driving

optical communication

and bioinspired imaging across the visible-to-infrared spectrum. Here

we present a polarization-sensitive neuromorphic phototransistor based on a high-quality

intrinsically anisotropic two-dimensional black arsenic-phosphorus nanosheet

which exhibits exceptional optoelectronic performance with a peak responsivity of 2.88 A W

-1

a polarization ratio of 4.7 and a dynamic range of 40 dB within the near-infrared communication band. Through multidimensional input control

including polarization and gate voltage

the phototransistor successfully simulates synaptic behaviors analogous to human neural responses to visual stimuli

with paired-pulse facilitation values reaching 201%. Critically

the device demonstrates gate-tunable short-term plasticity

with optical persistence triggering stable long-term plasticity states that underpin memory consolidation. The neuromorphic properties enable the development of a hybrid optical-electronic neural network which achieves a classification accuracy of over 90% on the Fashion-MNIST dataset and a reconstruction accuracy of 71.38% using data from the Yale Face Database under 0º linear polarization. We demonstrate a polarization-resolved imaging approach utilizing the black arsenic-phosphorus phototransistor to reconstruct hidden targets with high fidelity through Stokes parameter extraction and degree of linear polarization mapping

revealing intricate polarization features invisible to conventional imaging systems. Our work establishes a foundational pl

atform for high-performance neuromorphic vision systems with integrated polarization imaging

computation

and communication functionalities

addressing critical challenges in scalable brain-inspired optoelectronic technologies.

关键词

Keywords

references

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