Programmable Memristive Optical Antenna Via Plasmonic Tunneling Junction.

Area of Science:

• Materials Science
• Nanotechnology
• Optoelectronics

Background:

• Optoelectronic memristors integrate light functions with memristors for artificial vision and neuromorphic computing.
• Existing memristive optical nanoantennas face stability issues due to nanoscale limitations, hindering programmability.

Purpose of the Study:

• To develop a programmable, stable optoelectronic memristor with electrical writing and optical reading capabilities.
• To demonstrate the potential of this device for image storage and display in artificial neural networks.

Main Methods:

• Fabrication of a planar Al-AlOx-ITO tunneling junction memristor decorated with gold nanoparticles.
• Utilizing plasmonic nanocavity effects for enhanced electron-to-photon conversion.
• Investigating light emission from inelastic electron tunneling and its modulation by resistance switching.

Main Results:

• Demonstrated a stable and reliable resistance switching behavior in the Al-AlOx-ITO memristor.
• Observed light emission in the high-resistance state, quenched in the low-resistance state.
• Successfully demonstrated image storage and display in a 1x8 pixel array by programming write/readout voltages.

Conclusions:

• The developed memristive plasmonic tunneling junction serves as an ultracompact optoelectrical memristor.
• This technology advances the integration of memristors for artificial neural networks and vision systems.
• The device offers a promising platform for next-generation optoelectronic computing.