Photo-Induced Valence Changed Memristor Based on WO₃ and Polyvinyl Alcohol Nanocomposites for In-Sensor Reservoir...

Area of Science:

• Materials Science
• Neuroscience
• Optoelectronics

Background:

• Neuromorphic vision systems require efficient sensory processing.
• Optoelectronic synapses offer direct light sensing and signal processing capabilities.

Purpose of the Study:

• To develop a photo-induced valence change memristor for optoelectronic synapses.
• To emulate fundamental synaptic functions and construct an in-sensor reservoir computing system.

Main Methods:

• Fabrication of WO3 nanoparticles and polyvinyl alcohol (WO3@PVA) memristors.
• Utilizing ultraviolet light stimulation to emulate synaptic functions (EPSCs, STP/LTP).
• In situ X-ray photoelectron spectroscopy for mechanism analysis and system construction.

Main Results:

• The WO3@PVA memristor demonstrated enhanced photocurrent response and relaxation time.
• Successful emulation of excitatory postsynaptic currents, short-term/long-term plasticity, and learning behaviors.
• Achieved high precision in static image classification and motion recognition using the in-sensor system.

Conclusions:

• Photo-induced valence change in tungsten oxide is the core mechanism for memristive switching.
• The developed optoelectronic synapse enables efficient in-sensor reservoir computing for visual tasks.
• This work presents a viable approach for high-efficiency neuromorphic visual systems.