Literature DB >> 30740892

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

Kai Wang1, Shilei Dai1, Yiwei Zhao1, Yan Wang1, Chuan Liu2, Jia Huang1,3.   

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.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  blended materials; inorganic halide perovskite quantum dots; light-stimulated synaptic transistors; organic semiconductors; solution process

Year:  2019        PMID: 30740892     DOI: 10.1002/smll.201900010

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  8 in total

1.  Light response behaviors of amorphous In-Ga-Zn-O thin-film transistors via in situ interfacial hydrogen doping modulation.

Authors:  Xiao-Lin Wang; Yan Shao; Xiaohan Wu; Mei-Na Zhang; Lingkai Li; Wen-Jun Liu; David Wei Zhang; Shi-Jin Ding
Journal:  RSC Adv       Date:  2020-01-22       Impact factor: 3.361

2.  Low-energy room-temperature optical switching in mixed-dimensionality nanoscale perovskite heterojunctions.

Authors:  Ji Hao; Young-Hoon Kim; Severin N Habisreutinger; Steven P Harvey; Elisa M Miller; Sean M Foradori; Michael S Arnold; Zhaoning Song; Yanfa Yan; Joseph M Luther; Jeffrey L Blackburn
Journal:  Sci Adv       Date:  2021-04-28       Impact factor: 14.136

3.  An Artificial Synapse Based on CsPbI3 Thin Film.

Authors:  Jia-Ying Chen; Xin-Gui Tang; Qiu-Xiang Liu; Yan-Ping Jiang; Wen-Min Zhong; Fang Luo
Journal:  Micromachines (Basel)       Date:  2022-02-10       Impact factor: 2.891

4.  Retina-Inspired Self-Powered Artificial Optoelectronic Synapses with Selective Detection in Organic Asymmetric Heterojunctions.

Authors:  Ziqian Hao; Hengyuan Wang; Sai Jiang; Jun Qian; Xin Xu; Yating Li; Mengjiao Pei; Bowen Zhang; Jianhang Guo; Huijuan Zhao; Jiaming Chen; Yunfang Tong; Jianpu Wang; Xinran Wang; Yi Shi; Yun Li
Journal:  Adv Sci (Weinh)       Date:  2022-01-12       Impact factor: 16.806

Review 5.  Neuromorphic Devices for Bionic Sensing and Perception.

Authors:  Mingyue Zeng; Yongli He; Chenxi Zhang; Qing Wan
Journal:  Front Neurosci       Date:  2021-06-29       Impact factor: 4.677

Review 6.  Recent advances in synthesis and application of perovskite quantum dot based composites for photonics, electronics and sensors.

Authors:  Yaxin Wang; Guanglong Ding; Jing-Yu Mao; Ye Zhou; Su-Ting Han
Journal:  Sci Technol Adv Mater       Date:  2020-05-12       Impact factor: 8.090

Review 7.  Memristive Artificial Synapses for Neuromorphic Computing.

Authors:  Wen Huang; Xuwen Xia; Chen Zhu; Parker Steichen; Weidong Quan; Weiwei Mao; Jianping Yang; Liang Chu; Xing'ao Li
Journal:  Nanomicro Lett       Date:  2021-03-06

8.  Low-Energy-Consumption and Electret-Free Photosynaptic Transistor Utilizing Poly(3-hexylthiophene)-Based Conjugated Block Copolymers.

Authors:  Wei-Chen Yang; Yan-Cheng Lin; Shin Inagaki; Hiroya Shimizu; Ender Ercan; Li-Che Hsu; Chu-Chen Chueh; Tomoya Higashihara; Wen-Chang Chen
Journal:  Adv Sci (Weinh)       Date:  2022-01-22       Impact factor: 16.806

  8 in total

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