A Light-Responsive Molecular Dielectric Surface for Ultraviolet-Selective Organic Optoelectronic Artificial Synapses

Optoelectronic synapses, capable of perceiving and retaining external visual information, are ideally suited for the development of future biomimetic eyes and visual automation systems. Organic field-effect transistors (OFETs) have emerged as a powerful platform for artificial neuromorphic computing systems. However, intricate design and fabrication of devices are required to modulate the light-response ability and the charge transfer at the interface. In this study, we successfully fabricated a [1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-12) UV-sensitive synaptic transistor, exhibiting prominent visual synaptic behavior. This was achieved by functionalizing the dielectric layer with light-responsive azobenzene (AZO) derivatives through sequential reactions with silanes, significantly improving the performance of OFET-based synapses. By adjustment of the silane precursors and thus control of the number of AZO groups grafted on the interface, the light sensitivity of the as-fabricated photonic synapse is easily adjusted. The responsivity (R) and specific detectivity (D*) of these AZO-grafted OFET have reached as high as 23.9 A/W and 5.4 × 1010 cm Hz0.5 W–1. The superior UV sensitivity and synaptic behavior of the OFET with a densely grafted AZO interface stem from the efficient capture and retention of photogenerated electrons at defect sites, facilitated by the photoisomerization of AZO. Proof-of-concept demonstration by UV light pulses to simulate multiple brain activities, such as perception, processing, and memory of visual information, uncovers its potential in artificial intelligence and enlightens a research direction for developing neuromorphic devices.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-06-02
DOI
https://doi.org/10.1021/acsaelm.5c00275
Citations
3
Primary Topic
Photochromic and Fluorescence Chemistry
Type
article
Field-Weighted Citation Impact
1.55

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article

A Light-Responsive Molecular Dielectric Surface for Ultraviolet-Selective Organic Optoelectronic Artificial Synapses

Weiping Wu, Fenghua Liu, Shuxue Zhou, Chengjian Chen et al.
3 citations
ACS Applied Electronic Materials
Photochromic and Fluorescence Chemistry
1.55
article

A Light-Responsive Molecular Dielectric Surface for Ultraviolet-Selective Organic Optoelectronic Artificial Synapses

Weiping Wu, Fenghua Liu, Shuxue Zhou, Chengjian Chen, Yunjiao Gu, Can Li, Xiaoman Li, Chenlu Mao
article en
3 citations

Abstract

Optoelectronic synapses, capable of perceiving and retaining external visual information, are ideally suited for the development of future biomimetic eyes and visual automation systems. Organic field-effect transistors (OFETs) have emerged as a powerful platform for artificial neuromorphic computing systems. However, intricate design and fabrication of devices are required to modulate the light-response ability and the charge transfer at the interface. In this study, we successfully fabricated a [1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-12) UV-sensitive synaptic transistor, exhibiting prominent visual synaptic behavior. This was achieved by functionalizing the dielectric layer with light-responsive azobenzene (AZO) derivatives through sequential reactions with silanes, significantly improving the performance of OFET-based synapses. By adjustment of the silane precursors and thus control of the number of AZO groups grafted on the interface, the light sensitivity of the as-fabricated photonic synapse is easily adjusted. The responsivity (R) and specific detectivity (D*) of these AZO-grafted OFET have reached as high as 23.9 A/W and 5.4 × 1010 cm Hz0.5 W–1. The superior UV sensitivity and synaptic behavior of the OFET with a densely grafted AZO interface stem from the efficient capture and retention of photogenerated electrons at defect sites, facilitated by the photoisomerization of AZO. Proof-of-concept demonstration by UV light pulses to simulate multiple brain activities, such as perception, processing, and memory of visual information, uncovers its potential in artificial intelligence and enlightens a research direction for developing neuromorphic devices.

ACS Applied Electronic MaterialsVol. 7(11)
Hunan University (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Integrated Optoelectronics (Norway) (NO), Shanghai Institute of Optics and Fine Mechanics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 18%
Photochromic and Fluorescence Chemistry
1.55
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