All oxide based flexible multi-folded invisible synapse as vision photo-receptor.

Area of Science:

• Materials Science
• Nanotechnology
• Neuroscience

Background:

• Transparent flexible memristors are crucial for artificial synaptic devices.
• Oxide-based materials offer potential for optoelectronic applications.

Purpose of the Study:

• To investigate the synaptic properties of SnO_x memristors with a HfO_x layer.
• To evaluate the device's reliability, flexibility, and performance in simulated biological applications.

Main Methods:

• Fabrication of SnO_x/HfO_x memristors on a PEN substrate.
• Characterization of synaptic properties including retention, endurance, multi-level conductance, and STDP.
• Testing device flexibility and performance in image recognition tasks.

Main Results:

• Optimized 6 nm HfO_x layer in SnO_x memristor shows stable 350 epochs training and multi-level conductance.
• Achieved 100% image recognition accuracy after 23 iterations with high nonlinearity.
• Demonstrated excellent flexibility with minimal nonlinearity change up to 4 mm bending.

Conclusions:

• The SnO_x/HfO_x memristor exhibits promising synaptic properties and reliability for artificial intelligence hardware.
• The device's transparency, flexibility, and bio-inspired characteristics make it suitable for optoelectronic synaptic applications.
• This work contributes to the development of next-generation neuromorphic computing and vision sensor technologies.