跳到主要导航 跳到搜索 跳到主要内容

Ferroelectric P(VDF-TrFE) wrapped InGaAs nanowires for ultralow-power artificial synapses

  • Pengshan Xie
  • , Yulong Huang
  • , Wei Wang
  • , You Meng
  • , Zhengxun Lai
  • , Fei Wang
  • , Sen Po Yip
  • , Xiuming Bu
  • , Weijun Wang
  • , Dengji Li
  • , Jia Sun*
  • , Johnny C. Ho*
  • *此作品的通讯作者
  • City University of Hong Kong
  • Central South University
  • Kyushu University
  • Zhengzhou University

科研成果: 期刊稿件文章同行评审

摘要

The gallop of artificial intelligence ignites urgent demand on information processing systems with ultralow power consumption, reliable multi-parameter control and high operation efficiency. Here, the poly(vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)) wrapped InGaAs nanowire (NW) artificial synapses capable to operate with record-low subfemtojoule power consumption are presented. The essential synaptic behaviors are mimicked and modulated effectively by adjusting the thickness of top P(VDF-TrFE) films. Moreover, the long-term depression is realized by applying visible light (450 nm) because of the negative photoconductivity of InGaAs nanowires. Combined with optimal P(VDF-TrFE) films, the synaptic devices have the more linear long-term potentiation/depression characteristics and the faster supervised learning process simulated by hardware neural networks. The Pavlovian conditioning is also performed by combining electrical and infrared stimuli. Evidently, these ultralow-operating-power synapses are demonstrated with the brain-like behaviors, effective function modulation, and more importantly, the synergistic photoelectric modulation, which illustrates the promising potentials for neuromorphic computing systems.

源语言英语
文章编号106654
期刊Nano Energy
91
DOI
出版状态已出版 - 1月 2022
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

指纹

探究 'Ferroelectric P(VDF-TrFE) wrapped InGaAs nanowires for ultralow-power artificial synapses' 的科研主题。它们共同构成独一无二的指纹。

引用此