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Anisotropic Signal Processing with Trigonal Selenium Nanosheet Synaptic Transistors.

Jing-Kai Qin1,2, Feichi Zhou1, Jingli Wang1,3

  • 1Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, People's Republic of China.

ACS Nano
|August 19, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel artificial neural network device using trigonal selenium (t-Se) synaptic transistors. This neuromorphic electronics breakthrough achieves ultralow energy consumption and mimics brain signal processing for advanced computing.

Keywords:
anisotropic responseelectrolyte-gated transistorsynaptic devicet-Se nanosheetvan der Waals crystals

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Neuroscience
  • Electrical Engineering

Background:

  • Neuromorphic computing requires heterogeneous devices for efficient, brain-like information processing.
  • Existing artificial neural network hardware faces challenges in low energy consumption and mimicking biological neural complexity.

Purpose of the Study:

  • To demonstrate an electrolyte-gated synaptic transistor (EGT) based on trigonal selenium (t-Se) nanosheets for neuromorphic applications.
  • To investigate the potential of t-Se for ultralow energy consumption and anisotropic signal processing in artificial neural networks.

Main Methods:

  • Fabrication of an electrolyte-gated synaptic transistor utilizing a trigonal selenium (t-Se) nanosheet as the channel material.
  • Characterization of the device's electrical properties, focusing on energy consumption and anisotropic conductance.
  • Evaluation of the device's ability to mimic heterogeneous signal transmission using its multiterminal anisotropic response.

Main Results:

  • The t-Se synaptic transistor achieved ultralow energy consumption, below 0.1 pJ per spike, due to the low conductivity of the Se channel.
  • The intrinsic low symmetry of t-Se resulted in significant electrical conductance anisotropy (up to 8.6 ratio along c- and a-axis).
  • The multiterminal EGT device demonstrated an anisotropic filtering behavior, successfully mimicking heterogeneous signal transmission akin to brain biostructures.

Conclusions:

  • Trigonal selenium nanosheets are promising materials for developing highly efficient and heterogeneous neuromorphic devices.
  • The demonstrated anisotropic response in t-Se EGTs offers a novel pathway for mimicking complex biological neural signal processing.
  • This proof-of-concept device marks a significant advancement towards practical neuromorphic electronics for sophisticated signal processing.