Robust and Low-Power-Consumption Black Phosphorus-Graphene Artificial Synaptic Devices

Area of Science:

• Materials Science
• Neuroscience
• Electronics

Background:

• Two-dimensional (2D) black phosphorus (BP) shows promise for artificial synapses but suffers from instability.
• Developing stable and efficient artificial synapse devices is crucial for neuromorphic computing.

Purpose of the Study:

• To manufacture a robust and low-power artificial synapse based on black phosphorus (BP).
• To enhance the performance and stability of BP-based artificial synapses using graphene oxide quantum dots (GOQDs).

Main Methods:

• Fabrication of BP-based artificial synapse devices.
• Integration of graphene oxide quantum dots (GOQDs) with BP structures.
• Characterization of device stability, synaptic functions, and learning behaviors.

Main Results:

• Achieved high stability of BP synapse devices in air for over 3 months.
• Demonstrated low power consumption (62 pW) and high sensitivity (-20 mV stimuli).
• Implemented synaptic functions, dendritic neural synapse functions, and logical operations, indicating strong learning behavior.

Conclusions:

• The developed BP-graphene synapse devices offer enhanced stability and performance.
• The combination of BP and GOQDs effectively boosts synaptic device efficiency.
• The electron capture/release mechanism in BP and GOQDs offers an alternative to conductive filaments in artificial synapses.