Flexible Multiband Photonic Synapses for Nociceptive Perception and Neuromorphic Computation via Fluorinated InP Quantum Dots

Organic photonic synaptic transistors (OPSTs), emulating biological synaptic behaviors under optical stimulation, serve as essential hardware components for neuromorphic visual systems. To satisfy various demands, state-of-the-art OPSTs typically require multispectral responsiveness that is often pursued by leveraging the excellent optoelectronic properties and solution-processability of quantum dots (QDs). However, this strategy suffers from complex fabrication procedures, limited mechanical flexibility and toxic cadmium/lead compositions in QDs, which raise serious environmental and biosafety concerns. In this work, we demonstrate a fully solution-processed and self-supporting flexible OPST based on environmentally benign indium phosphide (InP) QDs. Through ligand exchange with fluorinated thiols, the QDs demonstrate improved photostability and enhanced energy level alignment with organic semiconductors. Furthermore, the interfacial dipole induced by fluorinated ligands enables long-term charge retention. The resulting QD-OPST devices exhibit broadband excitatory postsynaptic current (EPSC) responses, tunable synaptic plasticity, remarkable mechanical durability and ultralow energy consumption of 0.016 fJ, effectively mimicking cornea-like nociceptor behaviors. In addition, the QD-OPSTs display pronounced color selectivity, enabling blue-feature recognition while suppressing red-green background noise. This study provides a feasible strategy for developing high-performance, eco-friendly, and flexible photonic synapse devices, highlighting great potential for applications in visual perception and brain-inspired computing.

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Publication Details

Journal
Advanced Materials
Published
2025-12-27
DOI
https://doi.org/10.1002/adma.202518057
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Flexible Multiband Photonic Synapses for Nociceptive Perception and Neuromorphic Computation via Fluorinated InP Quantum Dots

Wenbo Lu, Ning Dai, Jing Wang, Bin Zeng et al.
Advanced Materials
Advanced Memory and Neural Computing
article

Flexible Multiband Photonic Synapses for Nociceptive Perception and Neuromorphic Computation via Fluorinated InP Quantum Dots

Wenbo Lu, Ning Dai, Jing Wang, Bin Zeng, Yang Li, Peixian Li
article en

Abstract

Organic photonic synaptic transistors (OPSTs), emulating biological synaptic behaviors under optical stimulation, serve as essential hardware components for neuromorphic visual systems. To satisfy various demands, state-of-the-art OPSTs typically require multispectral responsiveness that is often pursued by leveraging the excellent optoelectronic properties and solution-processability of quantum dots (QDs). However, this strategy suffers from complex fabrication procedures, limited mechanical flexibility and toxic cadmium/lead compositions in QDs, which raise serious environmental and biosafety concerns. In this work, we demonstrate a fully solution-processed and self-supporting flexible OPST based on environmentally benign indium phosphide (InP) QDs. Through ligand exchange with fluorinated thiols, the QDs demonstrate improved photostability and enhanced energy level alignment with organic semiconductors. Furthermore, the interfacial dipole induced by fluorinated ligands enables long-term charge retention. The resulting QD-OPST devices exhibit broadband excitatory postsynaptic current (EPSC) responses, tunable synaptic plasticity, remarkable mechanical durability and ultralow energy consumption of 0.016 fJ, effectively mimicking cornea-like nociceptor behaviors. In addition, the QD-OPSTs display pronounced color selectivity, enabling blue-feature recognition while suppressing red-green background noise. This study provides a feasible strategy for developing high-performance, eco-friendly, and flexible photonic synapse devices, highlighting great potential for applications in visual perception and brain-inspired computing.

Advanced Materials
Zhejiang Lab (CN), Shanghai Institute of Technical Physics (CN), Institute for Advanced Study (DE)
National Natural Science Foundation of China, University of Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 42%
Advanced Memory and Neural Computing
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