Bidirectional Ultraviolet Photoresponsivity Synapses via Defect Engineering in Ultrathin D–A Conjugated Polymer Films for Advanced Artificial Vision Systems

Bidirectional photoresponsivity devices play an important role in visual information processing and visual computing. However, the heterojunction structure of conventional bidirectional photoresponsivity devices limits the diversity of material choices. This work presents a novel preparation method based on conjugated ultrathin polymer films, which introduces traps through the spin-coating of a low-concentration semiconductor solution onto a strongly hydrophobic substrate to form an ultrathin film to obtain devices exhibiting bidirectional photoresponsivity. The tunable bidirectional photoresponsivity enables the devices to successfully mimic biological synaptic behaviors such as excitatory postsynaptic currents (EPSC), inhibitory postsynaptic currents (IPSC), paired-pulse facilitation (PPF), and learning and forgetting behaviors. This work provides a new strategy for the preparation of all-optical artificial synapses that are suitable for practical applications that require large-scale processing. Finally, neural networks are used for image recognition, achieving a recognition rate of over 95%.

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Publication Details

Journal
ACS Materials Letters
Published
2026-02-05
DOI
https://doi.org/10.1021/acsmaterialslett.5c01689
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Bidirectional Ultraviolet Photoresponsivity Synapses via Defect Engineering in Ultrathin D–A Conjugated Polymer Films for Advanced Artificial Vision Systems

Xin Liu, Yifei Tan, Kedong Gu, X. Wang et al.
ACS Materials Letters
Advanced Memory and Neural Computing
article

Bidirectional Ultraviolet Photoresponsivity Synapses via Defect Engineering in Ultrathin D–A Conjugated Polymer Films for Advanced Artificial Vision Systems

Xin Liu, Yifei Tan, Kedong Gu, X. Wang, Zixiang Lu, Longzhen Qiu
article en

Abstract

Bidirectional photoresponsivity devices play an important role in visual information processing and visual computing. However, the heterojunction structure of conventional bidirectional photoresponsivity devices limits the diversity of material choices. This work presents a novel preparation method based on conjugated ultrathin polymer films, which introduces traps through the spin-coating of a low-concentration semiconductor solution onto a strongly hydrophobic substrate to form an ultrathin film to obtain devices exhibiting bidirectional photoresponsivity. The tunable bidirectional photoresponsivity enables the devices to successfully mimic biological synaptic behaviors such as excitatory postsynaptic currents (EPSC), inhibitory postsynaptic currents (IPSC), paired-pulse facilitation (PPF), and learning and forgetting behaviors. This work provides a new strategy for the preparation of all-optical artificial synapses that are suitable for practical applications that require large-scale processing. Finally, neural networks are used for image recognition, achieving a recognition rate of over 95%.

ACS Materials LettersVol. 8(3)
Hefei University of Technology (CN), Anhui East China Institute of Optoelectronic Technology (China) (CN)
Openalex Percentile: Top 65%
Advanced Memory and Neural Computing
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