Mixed‐Dimensional Chiral COF–2D Molecular Crystal Heterojunctions for Neuromorphic Circular Polarization Vision

Y Yu Zhang (Xiangya Hospital, Central South University Changsha China) L Lingjie Sun (State Key Laboratory of Advanced Materials for Intelligent Sensing, Key Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science & Institute of Molecular Aggregation Science, Tianjin University) M Meiqiu Dong (Ji Hua Laboratory Foshan Guangdong P. R. China) Z Ziwei Yu (State Key Laboratory of Soil Pollution Control and Safety Zhejiang University Hangzhou China) K Kesheng Guo (Ji Hua Laboratory Foshan Guangdong 52800 P. R. China) Y Yangwu Guo (Ji Hua Laboratory Foshan Guangdong 52800 P. R. China) C Cheng Xu M Mingsheng Luo (Ji Hua Laboratory Foshan Guangdong P. R. China) Y Yang Deng (Hunan Provincial Key Laboratory of Anti-Resistance Microbial Drugs) F Fangxu Yang (Key Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University) W Wenping Hu

Abstract

Abstract Emulating the biological visual system's ability to perceive and preprocess circularly polarized light (CPL) offers transformative opportunities for advanced imaging, quantum communication, and autonomous navigation. However, the implementation of such functionality in artificial systems demands the seamless integration of chiral selective sensing, efficient exciton dissociation, and neuromorphic processing capabilities, a combination that remains beyond the reach of current optoelectronic materials. Herein, a mixed‐dimensional heterojunction architecture is presented, integrating a 3D chiral covalent organic framework (COF) with a 2D molecular crystal (2DMC), to overcome these limitations. By constructing a type‐II band‐aligned interface between a β‐ketoenamine‐linked TpPa‐COF and an air‐stable dithienothiophene‐based 2DMC, the architecture enables directional, ultrafast interlayer charge transfer and efficient exciton dissociation at the interface. The resulting chiroptical synaptic transistor achieves a record polarization discrimination ratio ( g EPSC = 0.73) and exceptional photoresponsivity (7.7 × 10 3 A W −1 ), substantially surpassing existing organic CPL‐sensitive detectors. Furthermore, when configured into a 3 × 3 convolutional kernel array, the device enables in‐sensor noise reduction and feature extraction, elevating the classification accuracy of noisy images from 51.5% to 71.2% in the CIFAR‐10 dataset. This work establishes an integrated material platform for CPL‐driven neuromorphic vision, bridging chiral photonics with bioinspired computing.

Article Details

Volume / Issue Vol. 38, Issue 8
Published February 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (11)

Y

Yu Zhang

Xiangya Hospital, Central South University Changsha China

L

Lingjie Sun

State Key Laboratory of Advanced Materials for Intelligent Sensing, Key Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science & Institute of Molecular Aggregation Science, Tianjin University

M

Meiqiu Dong

Ji Hua Laboratory Foshan Guangdong P. R. China

Z

Ziwei Yu

State Key Laboratory of Soil Pollution Control and Safety Zhejiang University Hangzhou China

K

Kesheng Guo

Ji Hua Laboratory Foshan Guangdong 52800 P. R. China

Y

Yangwu Guo

Ji Hua Laboratory Foshan Guangdong 52800 P. R. China

C

Cheng Xu

M

Mingsheng Luo

Ji Hua Laboratory Foshan Guangdong P. R. China

Y

Yang Deng

Hunan Provincial Key Laboratory of Anti-Resistance Microbial Drugs

F

Fangxu Yang

Key Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University

W

Wenping Hu