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A Method for Growing Bio-memristors from Slime Mold
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Ferroelectric Second-Order Memristor.

Vitalii Mikheev1, Anastasia Chouprik1, Yury Lebedinskii1

  • 1Moscow Institute of Physics and Technology , 9 Institutskiy lane , Dolgoprudny, Moscow Region 141700 , Russia.

ACS Applied Materials & Interfaces
|August 13, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel ferroelectric second-order memristor using HfO2. This device emulates biological synapses, paving the way for advanced neuromorphic computing architectures.

Keywords:
ferroelectric hafnium oxideferroelectric memristorferroelectric tunnel junctionresistive switchingsecond-order memristorsynaptic plasticity

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Area of Science:

  • Materials Science
  • Solid State Physics
  • Neuroscience

Background:

  • First-order memristors depend solely on external stimuli for conductance.
  • Second-order memristors incorporate internal states, enabling emulation of biological synaptic dynamics.

Purpose of the Study:

  • To demonstrate a new second-order memristor functionality in a ferroelectric HfO2-based tunnel junction.
  • To explore its potential for neuromorphic computing.

Main Methods:

  • Fabrication of a p+-Si/Hf0.5Zr0.5O2/TiN tunnel junction.
  • Utilizing gradual polarization switching in Hf0.5Zr0.5O2 for continuous conductance change.
  • Investigating the combined effects of electric fields and charge trapping for temporal behavior.

Main Results:

  • Achieved continuous conductance modulation via ferroelectric domain switching.
  • Demonstrated synaptic functionalities including paired-pulse potentiation/depression and spike-rate-dependent plasticity.
  • The device's temporal behavior mimics biological synapses.

Conclusions:

  • The ferroelectric second-order memristor shows promise for neuromorphic computing.
  • This device can serve as a fundamental component for artificial neural networks.
  • It bridges the gap between solid-state devices and biological neural systems.