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The contact of metal and semiconductor can lead to the formation of a junction with either Schottky or Ohmic behavior.
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Artificial Synapses Based on WSe2 Homojunction via Vacancy Migration.

Junwen Ren1, Hongzhi Shen1, Zeyi Liu1

  • 1School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China.

ACS Applied Materials & Interfaces
|April 28, 2022
PubMed
Summary

This study introduces a novel artificial synapse using tungsten diselenide (WSe2) homojunctions. The device effectively mimics biological synapses and transitions between short-term and long-term memory states.

Keywords:
WSe2artificial synapsehomojunctionvacancies migration

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Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Engineering

Background:

  • Two-dimensional (2D) transition metal dichalcogenides (TMDs) are crucial for neuromorphic computing.
  • Existing 2D artificial synapses often rely on defect migration, requiring significant ion diffusion.

Purpose of the Study:

  • To demonstrate a novel artificial synapse based on a lateral WSe2 homojunction.
  • To explore the emulation of biological synaptic functions and memory transitions.

Main Methods:

  • Fabrication of a lateral WSe2 homojunction artificial synapse.
  • Utilizing negative gate voltage to induce Se vacancy migration.
  • Investigating the impact of vacancy accumulation on device resistance states.

Main Results:

  • Achieved a transformation from high-resistance state (HRS) to low-resistance state (LRS) via Se vacancy migration.
  • Demonstrated efficient emulation of biological synaptic functions with substantial weight change.
  • Successfully transitioned the device between short-term memory (STM) and long-term memory (LTM) states.

Conclusions:

  • The lateral WSe2 homojunction offers a promising platform for artificial synapses.
  • The device's ability to emulate synaptic functions and memory states is beneficial for large-scale integration.
  • This work advances the development of transistor-based artificial synapses for neuromorphic computing.