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用于实时可穿戴运动认知的采用主链工程化给体-受体共轭聚合物的突触晶体管。

Synaptic Transistors Using Backbone-Engineered D-A Conjugated Polymers for Real-Time Wearable Motion Cognition.

作者信息

Wu Ning, Yu Qianbo, Liu Yi, Xu Zhipeng, Li Yue, Lee Hwa Sung, Xu Wentao

机构信息

Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Nankai University, Tianjin 300350, China.

Smart Sensing Interdisciplinary Science Center, Nankai University, Tianjin 300350, China.

出版信息

ACS Appl Mater Interfaces. 2025 Jul 30;17(30):43316-43326. doi: 10.1021/acsami.5c03513. Epub 2025 Jul 22.

Abstract

Organic neuromorphic electronics using conjugated polymers as an active layer attract a lot of attention, for that their synaptic plasticity can be easily tuned by tailoring of the molecular chain structures. Herein, we synthesize a series of conjugated polymers based on a backbone engineering strategy, using thiophene (T), selenophene (Se), bithiophene (BT) and terthiophene (TT) as donors and diketopyrrolopyrrole (DPP) as acceptor, i.e., PTDPP-T, PTDPP-Se, PTDPP-BT and PTDPP-TT, and used these conjugated polymers to fabricate thin-film synaptic transistors. We investigated the correlation between chemical structures, aggregation states, film morphology, mobility and synaptic plasticity. When BT was used as the donor, the conjugated polymer exhibited the strongest preaggregation, formed a nanowire-structured crystal morphology, and had the appropriate monomer conjugation length, resulting in the highest field-effect mobility ∼1.33 cm V s. PTDPP-BT synaptic transistor showed the most favorable synaptic plasticity, in terms of response amplitude, plasticity regulation, and high-pass filtering, and applied to image processing and associated learning. The device was also used for wearable applications and successfully demonstrated for real-time wearable motion cognition, which provides an approach for the development of future neuromorphic devices.

摘要

使用共轭聚合物作为活性层的有机神经形态电子学因其突触可塑性可通过分子链结构的定制轻松调节而备受关注。在此,我们基于主链工程策略合成了一系列共轭聚合物,使用噻吩(T)、硒吩(Se)、联噻吩(BT)和三联噻吩(TT)作为供体,二酮吡咯并吡咯(DPP)作为受体,即PTDPP-T、PTDPP-Se、PTDPP-BT和PTDPP-TT,并使用这些共轭聚合物制造薄膜突触晶体管。我们研究了化学结构、聚集状态、薄膜形态、迁移率和突触可塑性之间的相关性。当使用BT作为供体时,共轭聚合物表现出最强的预聚集,形成纳米线结构的晶体形态,并且具有合适的单体共轭长度,导致最高场效应迁移率约为1.33 cm² V⁻¹ s⁻¹。PTDPP-BT突触晶体管在响应幅度、可塑性调节和高通滤波方面表现出最有利的突触可塑性,并应用于图像处理和相关学习。该器件还用于可穿戴应用,并成功展示了实时可穿戴运动认知,为未来神经形态器件的发展提供了一种途径。

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