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基于无机钙钛矿量子点和有机半导体的简便溶液法制备的光控突触晶体管。

Light-Stimulated Synaptic Transistors Fabricated by a Facile Solution Process Based on Inorganic Perovskite Quantum Dots and Organic Semiconductors.

机构信息

Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China.

State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510275, P. R. China.

出版信息

Small. 2019 Mar;15(11):e1900010. doi: 10.1002/smll.201900010. Epub 2019 Feb 10.

DOI:10.1002/smll.201900010
PMID:30740892
Abstract

Implementation of artificial intelligent systems with light-stimulated synaptic emulators may enhance computational speed by providing devices with high bandwidth, low power computation requirements, and low crosstalk. One of the key challenges is to develop light-stimulated devices that can response to light signals in a neuron-/synapse-like fashion. A simple and effective solution process to fabricate light-stimulated synaptic transistors (LSSTs) based on inorganic halide perovskite quantum dots (IHP QDs) and organic semiconductors (OSCs) is reported. Blending IHP QDs and OSCs not only improves the charge separation efficiency of the photoexcited charges, but also induces delayed decay of the photocurrent in the IHP QDs/OSCs hybrid film. The enhanced charge separation efficiency results in high photoresponsivity, while the induced delayed decay of the photocurrent is critical to achieving light-stimulating devices with a memory effect, which are important for achieving high synaptic performance. The LSSTs can respond to light signals in a highly neuron-/synapse-like fashion. Both short-term and long-term synaptic behaviors have been realized, which may lay the foundation for the future implementation of artificial intelligent systems that are enabled by light signals. More significantly, LSSTs are fabricated by a facile solution process which can be easily applied to large-scale samples.

摘要

利用光刺激突触模拟器实现人工智能系统可以通过为设备提供高带宽、低功耗计算要求和低串扰来提高计算速度。其中一个关键挑战是开发能够以类似于神经元/突触的方式响应光信号的光刺激器件。本文报道了一种基于无机卤化物钙钛矿量子点(IHP QDs)和有机半导体(OSCs)的简单有效的制造光刺激突触晶体管(LSSTs)的溶液处理方法。混合 IHP QDs 和 OSCs 不仅提高了光激发电荷的电荷分离效率,而且诱导了 IHP QDs/OSCs 混合膜中光电流的延迟衰减。增强的电荷分离效率导致高光电响应率,而光电流的诱导延迟衰减对于实现具有记忆效应的光刺激器件至关重要,这对于实现高突触性能至关重要。LSSTs 可以以高度类似于神经元/突触的方式响应光信号。已经实现了短期和长期的突触行为,这可能为未来实现基于光信号的人工智能系统奠定基础。更重要的是,LSSTs 是通过一种简单的溶液处理工艺制造的,可以很容易地应用于大规模样品。

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