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Ferroelectric-Induced Phase Change Device with Polymorphic Mo1-xWxTe2 for Neuromorphic Computing.

Eunji Hwang1, Dohyun Kim1, Nayeon Kim1

  • 1Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.

Small (Weinheim an Der Bergstrasse, Germany)
|October 30, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel 2D material phase change device using Mo0.95W0.05Te2 on a ferroelectric substrate. This artificial synapse demonstrates low-power, high-performance operation for neuromorphic computing.

Keywords:
ferroelectricitymemristormemtransistorneuromorphic computingphase changesynaptic devicetransition metal chalcogenides

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Solid State Physics

Background:

  • Conventional phase change materials for artificial synapses face limitations like high power consumption and low reliability due to Joule heating.
  • Artificial synapses are crucial for developing energy-efficient neuromorphic computing systems.

Purpose of the Study:

  • To demonstrate a novel phase change device utilizing a 2D material (Mo0.95W0.05Te2) on a ferroelectric substrate for artificial synapse applications.
  • To overcome the limitations of conventional phase change materials by employing a ferroelectric-induced phase transition mechanism.

Main Methods:

  • Fabrication of a phase change device using monolayer Mo0.95W0.05Te2 on a ferroelectric substrate.
  • Inducing structural phase transitions (2H to 1T') via drain or gate voltage bias.
  • Confirmation of phase transitions using Raman spectroscopy.
  • Characterization of synaptic functions including plasticity and multilevel conductance states.

Main Results:

  • The device exhibits ferroelectric-induced phase transitions between semiconducting 2H and semimetallic 1T' phases.
  • Demonstrated gate and drain voltage modulation capabilities within a single device structure.
  • Achieved key synaptic functions: short-term and long-term plasticity with linear and symmetric multilevel conductance states.
  • Reported ultra-low energy consumption of 5.3 pJ per switching event at monolayer thickness.

Conclusions:

  • The 2D material-based phase change device on a ferroelectric substrate offers a promising pathway for energy-efficient and high-performance artificial synapses.
  • This technology has significant potential for advancing next-generation neuromorphic computing systems.