Ferroelectric P(VDF-TrFE) wrapped InGaAs nanowires for ultralow-power artificial synapses. (January 2022)

• Record Type: Journal Article
• Authors: Xie, Pengshan; Huang, Yulong; Wang, Wei; Meng, You; Lai, Zhengxun; Wang, Fei; Yip, SenPo; Bu, Xiuming; Wang, Weijun; Li, Dengji; Sun, Jia; Ho, Johnny C.
• Is Part Of: Nano energy. Volume 91(2022)
• Publication Date: 2022-01
• Subjects: InGaAs nanowires -- Artificial synapse -- Ferroelectric polymer -- Negative photoconductivity -- Associative learning; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2021.106654
• Languages: English
• ISSNs: 2211-2855

Abstract

Abstract: 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. Graphical Abstract: The ferroelectric P(VDF-TrFE) top-wrapped InGaAs nanowire artificial synapses exhibit the ultralow power consumption and synergistic photoelectric modulation. The unique negative photoconductivity in visible range realizes the more linear long-term depression characteristics. Moreover, by combining the response in infrared range with electric stimuli, the classical Pavlovian conditioning is mimicked successfully, which shows great potentials in neuromorphic computing systems. ga1 The ferroelectric P(VDF-TrFE) top-wrapped InGaAs nanowire artificial synapses with the ultralow power consumption and synergistic photoelectric modulation. Highlights: A recorded low sub-femtojoule (0.84 fJ) per synaptic event is realized in P(VDF-TrFE) wrapped 1D Ⅲ-Ⅴ InGaAs NWs synapses. The negative photoconductivity is introduced to realize the more linear long-term depression characteristics. The classical Pavlovian conditioning is mimicked by synergistic photoelectric modulation.