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    A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide

    Year: 2021

    Journal: ACS Nano, Volume 15, SEP 28, page 15123–15131

    Authors: Wang, Jingyun; Teng, Changjiu; Zhang, Zhiyuan; Chen, Wenjun; Tan, Junyang; Pan, Yikun; Zhang, Rongjie; Zhou, Heyuan; Ding, Baofu; Cheng, Hui-Ming; Liu, Bilu

    Organizations: National Natural Science Foundation of China [51920105002, 51991343, 51991340]; Guangdong Innovative and Entrepreneurial Research Team Program [2017ZT07C341]; Bureau of Industry and Information Technology of Shenzhen [201901171523]; Shenzhen Basic Research Project [JCYJ20200109144620815, JCYJ20200109144616617]

    Keywords: 2D materials; titanium oxide; Langmuir-Blodgett assembly; artificial neuron; leaky integrate-and-fire; spiking neural network

    A spiking neural network consists of artificial synapses and neurons and may realize human-level intelligence. Unlike the widely reported artificial synapses, the fabrication of large-scale artificial neurons with good performance is still challenging due to the lack of a suitable material system and integration method. Here, we report an ultrathin (less than10 nm) and inch-size two-dimensional (2D) oxide-based artificial neuron system produced by a controllable assembly of solution-processed 2D monolayer TiOx nanosheets. Artificial neuron devices based on such 2D TiOx films show a high on/off ratio of 109 and a volatile resistance switching phenomenon. The devices can not only emulate the leaky integrate-and-fire activity but also self-recover without additional circuits for sensing and reset. Moreover, the artificial neuron arrays are fabricated and exhibited good uniformity, indicating their large-area integration potential. Our results offer a strategy for fabricating large-scale and ultrathin 2D material-based artificial neurons and 2D spiking neural networks.
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