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Flexible organic field-effect transistor arrays for wearable neuromorphic device applications.
Li, Qing-Xuan; Wang, Tian-Yu; Wang, Xiao-Lin; Chen, Lin; Zhu, Hao; Wu, Xiao-Han; Sun, Qing-Qing; Zhang, David Wei.
Afiliación
  • Li QX; State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, P. R. China. linchen@fudan.edu.cn hao_zhu@fudan.edu.cn.
Nanoscale ; 12(45): 23150-23158, 2020 Nov 26.
Article en En | MEDLINE | ID: mdl-33191413
With the advent of wearable microelectronic devices in the interdisciplinary bio-electronics research field, synaptic devices with capability of neuromorphic computing are attracting more and more attention as the building blocks for the next generation computing structure. Conventional flash-like synaptic transistors are built on rigid solid-state substrates, and the inorganic materials and the high-temperature processing steps have severely limited their applications in various flexible electronic devices and systems. Here, flexible organic flash-like synaptic devices have been fabricated on a flexible substrate with the organic C8-BTBT as the conducting channel. The device exhibits a memory window greater than 20 V and excellent synaptic functions including short/long-term synaptic plasticity and spike-timing-dependent plasticity. In addition, even under the bending condition (7 mm bending radius), the transistor can still stably achieve a variety of synaptic functions. This work shows that low-temperature processing technology with the integration of organic materials can pave a promising pathway for the realization of flexible synaptic systems and the future development of wearable electronic devices.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Transistores Electrónicos / Dispositivos Electrónicos Vestibles Idioma: En Revista: Nanoscale Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Transistores Electrónicos / Dispositivos Electrónicos Vestibles Idioma: En Revista: Nanoscale Año: 2020 Tipo del documento: Article