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Robust and Low-Power-Consumption Black Phosphorus-Graphene Artificial Synaptic Devices.

Shuai Yuan1, Bocang Qiu1, Koshayeva Amina1

  • 1Materials Institute of Atomic and Molecular Science, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, People's Republic of China.

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Summary

Researchers developed stable, low-power artificial synapses using black phosphorus (BP) and graphene oxide quantum dots (GOQDs). These devices exhibit robust performance and learning behaviors, overcoming the instability issues of traditional BP materials.

Keywords:
BPP−C bondsartificial synapticblack phosphorusgraphenememristor

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Area of Science:

  • Materials Science
  • Neuroscience
  • Electronics

Background:

  • Two-dimensional (2D) black phosphorus (BP) shows promise for artificial synapses but suffers from instability.
  • Developing stable and efficient artificial synapse devices is crucial for neuromorphic computing.

Purpose of the Study:

  • To manufacture a robust and low-power artificial synapse based on black phosphorus (BP).
  • To enhance the performance and stability of BP-based artificial synapses using graphene oxide quantum dots (GOQDs).

Main Methods:

  • Fabrication of BP-based artificial synapse devices.
  • Integration of graphene oxide quantum dots (GOQDs) with BP structures.
  • Characterization of device stability, synaptic functions, and learning behaviors.

Main Results:

  • Achieved high stability of BP synapse devices in air for over 3 months.
  • Demonstrated low power consumption (62 pW) and high sensitivity (-20 mV stimuli).
  • Implemented synaptic functions, dendritic neural synapse functions, and logical operations, indicating strong learning behavior.

Conclusions:

  • The developed BP-graphene synapse devices offer enhanced stability and performance.
  • The combination of BP and GOQDs effectively boosts synaptic device efficiency.
  • The electron capture/release mechanism in BP and GOQDs offers an alternative to conductive filaments in artificial synapses.