A Novel Characterization and Performance Measurement of Memristor Devices for Synaptic Emulators in Advanced...

Area of Science:

• Materials Science
• Neuroscience
• Computer Engineering

Background:

• Advanced neurocomputing demands efficient synaptic emulators.
• Memristor devices are crucial for mimicking neuronal behavior.
• Titanium Dioxide (TiO2) nanoparticles offer potential for memristor fabrication.

Purpose of the Study:

• To present and compare memristor devices with TiO2 nanoparticles and Silver (Ag) or Gold (Au) electrodes.
• To evaluate their suitability as synaptic emulators for neurocomputing.
• To identify the electrode material yielding superior device performance.

Main Methods:

• Fabrication of Ag/TiO2 NPs and Au/TiO2 NPs memristor devices.
• Characterization using Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM).
• Analysis of resistive switching (RS) phenomena, switching time, and capacitor-voltage curves.

Main Results:

• Ag-based memristors exhibited improved performance over Au-based counterparts.
• SEM and AFM confirmed electrode morphology and nanoparticle structure.
• Resistive switching behavior was observed, with Ag showing better charge storage capacity.
• Demonstrated 3x3 pixel image classification using the memristor crossbar array.

Conclusions:

• Ag/TiO2 NPs memristors are promising synaptic emulators for neuromorphic computing.
• The Ag electrode offers significant advantages over Au for these applications.
• The developed devices show potential for advanced neurocomputing systems.