Chiral Perovskite Photonic Synapses With Anion‐Mediated Carrier Relaxation for Enhanced 3D Tracking and Trajectory Reconstruction

ABSTRACT Circularly polarized light (CPL) provides additional degrees of freedom for visual information processing in artificial photonic synapses (APS). However, achieving carrier dynamics modulation for synaptic behavior conflicts with maintaining the inherent chiral properties of the material. Here, we propose an anion‐mediated carrier relaxation strategy to achieve CPL perception and synaptic functional coupling in the chiral perovskite material. The partial substitution of I − with SCN − in the chiral perovskite (R/S‐NEA)PbI 3 lattice reduces the migration barrier of I − , facilitating iodine vacancy generation and inducing intermediate energy level formation. These intermediate states extend carrier relaxation times, while the similar ionic radius of SCN − and I − maintain the intrinsic chiral optical properties of the material. The CPL‐sensitive APS was prepared using this modified chiral material. Leveraging polarization‐dependent temporal dynamics of APS, a multidimensional neuromorphic vision system integrating CPL information, parallax, and optical flow features was constructed for 3D motion analysis. In 3D scene testing, the system achieves a fish trajectory tracking accuracy of 97.25% and reliably distinguishes six distinct motion directions. This approach provides a promising pathway toward intelligent visual perception systems to achieve efficient information processing in complex application scenarios, such as autonomous driving and robotics.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-06-30
DOI
https://doi.org/10.1002/adfm.76706
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Chiral Perovskite Photonic Synapses With Anion‐Mediated Carrier Relaxation for Enhanced 3D Tracking and Trajectory Reconstruction

Guoyi Li, Wencan Wang, Wei Tian, Shenghong Li et al.
Advanced Functional Materials
Neural Networks and Reservoir Computing
article

Chiral Perovskite Photonic Synapses With Anion‐Mediated Carrier Relaxation for Enhanced 3D Tracking and Trajectory Reconstruction

Guoyi Li, Wencan Wang, Wei Tian, Shenghong Li, Li Li, Y N Wu
article en

Abstract

ABSTRACT Circularly polarized light (CPL) provides additional degrees of freedom for visual information processing in artificial photonic synapses (APS). However, achieving carrier dynamics modulation for synaptic behavior conflicts with maintaining the inherent chiral properties of the material. Here, we propose an anion‐mediated carrier relaxation strategy to achieve CPL perception and synaptic functional coupling in the chiral perovskite material. The partial substitution of I − with SCN − in the chiral perovskite (R/S‐NEA)PbI 3 lattice reduces the migration barrier of I − , facilitating iodine vacancy generation and inducing intermediate energy level formation. These intermediate states extend carrier relaxation times, while the similar ionic radius of SCN − and I − maintain the intrinsic chiral optical properties of the material. The CPL‐sensitive APS was prepared using this modified chiral material. Leveraging polarization‐dependent temporal dynamics of APS, a multidimensional neuromorphic vision system integrating CPL information, parallax, and optical flow features was constructed for 3D motion analysis. In 3D scene testing, the system achieves a fish trajectory tracking accuracy of 97.25% and reliably distinguishes six distinct motion directions. This approach provides a promising pathway toward intelligent visual perception systems to achieve efficient information processing in complex application scenarios, such as autonomous driving and robotics.

Advanced Functional Materials
Northwestern Polytechnical University (CN), Soochow University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Key University Science Research Project of Jiangsu Province, Basic Research Program of Jiangsu Province
Reduced inequalities
Openalex Percentile: Top 9%
Neural Networks and Reservoir Computing
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