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Piezotronic Synapse Based on a Single GaN Microwire for Artificial Sensory Systems.

Qilin HuaXiao CuiHaitao LiuCaofeng PanWeiguo HuZhong Lin Wang
Published in: Nano letters (2020)
Tactile information is efficiently captured and processed through a complex sensory system combined with mechanoreceptors, neurons, and synapses in human skin. Synapses are essential for tactile signal transmission between pre/post-neurons. However, developing an electronic device that integrates the functions of tactile information sensation and transmission remains a challenge. Here, we present a piezotronic synapse based on a single GaN microwire that can simultaneously achieve the capabilities of strain sensing and synaptic functions. The piezotronic effect in the wurtzite GaN is introduced to strengthen synaptic weight updates (e.g., 330% enhancement at a compressive stress of -0.36%) with pulse trains. A high gauge factor for strain sensing (ranging from 0 to -0.81%) of about 736 is also obtained. Remarkably, the piezotronic synapse enables the neuromorphic hardware achievement of the perception and processing of tactile information in a single micro/nanowire system, demonstrating an advance in biorealistic artificial intelligence systems.
Keyphrases
  • artificial intelligence
  • machine learning
  • health information
  • big data
  • spinal cord
  • deep learning
  • body mass index
  • weight loss
  • physical activity
  • prefrontal cortex
  • social media
  • spinal cord injury
  • mass spectrometry