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

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Can Li, Yunjiao Gu*, Xiaoman Li, Chenlu Mao, Fenghua Liu, Shuxue Zhou, Chengjian Chen and Weiping Wu*, 
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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.

紫外选择性有机光电人工突触的光响应分子介电表面
光电突触能够感知和保留外部视觉信息,是未来仿生眼和视觉自动化系统发展的理想选择。有机场效应晶体管(ofet)已成为人工神经形态计算系统的强大平台。然而,需要复杂的器件设计和制造来调制光响应能力和界面处的电荷转移。在这项研究中,我们成功地制作了[1]苯并噻吩[3,2-b][1]苯并噻吩(Ph-BTBT-12)紫外敏感突触晶体管,表现出突出的视觉突触行为。这是通过与硅烷的顺序反应,用光响应偶氮苯(AZO)衍生物功能化介电层来实现的,显著提高了基于ofet的突触的性能。通过调整硅烷前驱体,从而控制接枝在界面上的AZO基团的数量,可以很容易地调节制备的光子突触的光敏度。这些偶氮接枝的OFET的响应率(R)和比探测率(D*)高达23.9 A/W和5.4 × 1010 cm Hz0.5 W - 1。具有密集接枝AZO界面的OFET具有优异的紫外灵敏度和突触行为,这是由于AZO的光异构化促进了在缺陷位点上光电子的有效捕获和保留。利用紫外光脉冲模拟视觉信息的感知、处理和记忆等多种大脑活动的概念验证演示,揭示了其在人工智能中的潜力,并为开发神经形态设备指明了研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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