Photoactive Nanocomposite Dielectric‐Driven Low‐Power All‐Optical Organic Synaptic Transistors

ABSTRACT Artificial optical synapses featuring low‐energy consumption, high speed, and noise tolerance are critical for visual neuromorphic electronics. Most existing devices rely on complex multilayer structures or require high supply voltages to induce carrier tunneling effects. Therefore, we propose a photoactive nanocomposite dielectric (PND) layer, thereby enabling an embedded‐layer‐free, low‐voltage, low‐power optical organic synaptic transistor (OST) capable of all‐optical, optical‐electrical, and all‐electrical modulation. We achieve this by functionalizing titanium dioxide nanoparticles (TiO 2 NPs) with nitrile butadiene rubber to fabricate a photo‐curable, patternable PND layer. Under electrical and optical stimulation, the PND‐based OST exhibits outstanding synaptic characteristics, including spike‐width‐dependent plasticity, spike‐number‐dependent plasticity, spike‐rate‐dependent plasticity, as well as long‐term potentiation and long‐term depression. Notably, this device achieves a low‐energy consumption of 10.09 fJ at V D = ‐1 mV. We further propose a new energy assessment framework to quantify the energy consumption of synaptic weight modulation in neural network computations, providing a more practical evaluation metric. In a neuromorphic image recognition, integrating optically tunable synaptic weights into a deep neural network achieves a recognition accuracy of 92.7% under high‐noise conditions through all‐optical modulation. Overall, PND structure not only simplifies device fabrication but also offers a promising solution for developing efficient, low‐power neuromorphic electronic devices.

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Publication Details

Journal
Small
Published
2026-11-05
DOI
https://doi.org/10.1002/smll.76650
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Photoactive Nanocomposite Dielectric‐Driven Low‐Power All‐Optical Organic Synaptic Transistors

Chu‐Chen Chueh, Wen‐Ya Lee, Qun‐Gao Chen, Rou‐Yi Li et al.
Small
Advanced Memory and Neural Computing
article

Photoactive Nanocomposite Dielectric‐Driven Low‐Power All‐Optical Organic Synaptic Transistors

Chu‐Chen Chueh, Wen‐Ya Lee, Qun‐Gao Chen, Rou‐Yi Li, Hsiu‐I Liu
article en

Abstract

ABSTRACT Artificial optical synapses featuring low‐energy consumption, high speed, and noise tolerance are critical for visual neuromorphic electronics. Most existing devices rely on complex multilayer structures or require high supply voltages to induce carrier tunneling effects. Therefore, we propose a photoactive nanocomposite dielectric (PND) layer, thereby enabling an embedded‐layer‐free, low‐voltage, low‐power optical organic synaptic transistor (OST) capable of all‐optical, optical‐electrical, and all‐electrical modulation. We achieve this by functionalizing titanium dioxide nanoparticles (TiO 2 NPs) with nitrile butadiene rubber to fabricate a photo‐curable, patternable PND layer. Under electrical and optical stimulation, the PND‐based OST exhibits outstanding synaptic characteristics, including spike‐width‐dependent plasticity, spike‐number‐dependent plasticity, spike‐rate‐dependent plasticity, as well as long‐term potentiation and long‐term depression. Notably, this device achieves a low‐energy consumption of 10.09 fJ at V D = ‐1 mV. We further propose a new energy assessment framework to quantify the energy consumption of synaptic weight modulation in neural network computations, providing a more practical evaluation metric. In a neuromorphic image recognition, integrating optically tunable synaptic weights into a deep neural network achieves a recognition accuracy of 92.7% under high‐noise conditions through all‐optical modulation. Overall, PND structure not only simplifies device fabrication but also offers a promising solution for developing efficient, low‐power neuromorphic electronic devices.

Small
National Taipei University of Technology (TW), National Taiwan University (TW)
Openalex Percentile: Top 25%
Advanced Memory and Neural Computing
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