TY - JOUR
T1 - Ferroelectric P(VDF-TrFE) wrapped InGaAs nanowires for ultralow-power artificial synapses
AU - Xie, Pengshan
AU - Huang, Yulong
AU - Wang, Wei
AU - Meng, You
AU - Lai, Zhengxun
AU - Wang, Fei
AU - Yip, Sen Po
AU - Bu, Xiuming
AU - Wang, Weijun
AU - Li, Dengji
AU - Sun, Jia
AU - Ho, Johnny C.
N1 - Funding Information:
We acknowledge the RGC Research Fellow Scheme ( RFS2021-1S04 ) and the Theme based Research Scheme (T42-103/16-N ) of the Research Grants Council of Hong Kong SAR, China, as well as the Foshan Innovative and Entrepreneurial Research Team Program, China (NO. 2018IT100031 ).
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.nanoen.2021.106654
DO - 10.1016/j.nanoen.2021.106654
M3 - Article
AN - SCOPUS:85119601603
SN - 2211-2855
VL - 91
JO - Nano Energy
JF - Nano Energy
M1 - 106654
ER -
