4.8 Article

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

期刊

ACS NANO
卷 15, 期 9, 页码 15123-15131

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c05565

关键词

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

资金

  1. National Natural Science Foundation of China [51920105002, 51991343, 51991340]
  2. Guangdong Innovative and Entrepreneurial Research Team Program [2017ZT07C341]
  3. Bureau of Industry and Information Technology of Shenzhen [201901171523]
  4. Shenzhen Basic Research Project [JCYJ20200109144620815, JCYJ20200109144616617]

向作者/读者索取更多资源

The research introduces a two-dimensional oxide-based artificial neuron system, which is ultra-thin and controllable, with high performance and the potential for large-scale integration, showing human-level intelligence capabilities.
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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