Ultra-Low Operating Voltage Memristors Based on Plating/Stripping Reactions

Area of Science:

• Materials Science
• Neuroscience
• Electrical Engineering

Background:

• Current memristor technologies face limitations in stability, operating voltage, and switching ratio due to filament formation and defect migration.
• There is a need for novel memristive devices that mimic biological synaptic plasticity for advanced computing.

Purpose of the Study:

• To develop a plating/stripping memristor (PSM) utilizing a fundamentally different electrochemical mechanism.
• To demonstrate stable, low-voltage, and bio-inspired conductance switching for neuromorphic applications.
• To integrate the PSM into a reservoir computing framework for pattern recognition.

Main Methods:

• Constructed a PSM using Zn/Cu electrodes and a deep eutectic gel electrolyte (DEGE).
• Investigated the electrochemical mechanism governing conductance switching.
• Integrated PSMs into a reservoir computing system with 4-bit pulse-encoded conductance states.

Main Results:

• The Zn/DEGE/Cu PSM demonstrated stable, low-voltage switching with sub-millivolt operation and energy-efficient characteristics.
• The DEGE provided a corrosion-resistant, dendrite-free, and ionically homogeneous environment for programmable conductance evolution.
• The PSM-based reservoir computing system achieved 89.3% classification accuracy in pattern recognition tasks.

Conclusions:

• Established a new materials and mechanistic foundation for energy-efficient neuromorphic computing.
• Bridged electrochemical reactions with biologically plausible information processing.
• The developed PSM offers a promising pathway for next-generation computing hardware.