Achieving ultrahigh synaptic potentiation with a two-terminal device based on a solution processed Cs₃Bi₂Br₉-MoS₂...

Area of Science:

• Materials Science
• Neuroscience
• Computer Engineering

Background:

• Synaptic devices are crucial for next-generation memory and computing.
• Existing devices often face challenges like nonlinear weight updates and rapid saturation.

Purpose of the Study:

• To develop a stable and efficient synaptic device for neuromorphic computing.
• To overcome limitations of current synaptic devices using novel hybrid materials.

Main Methods:

• Fabrication of a two-terminal synaptic device using solution-processed hybrid MoS2 nanosheets and Cs3Bi2Br9 perovskite.
• Characterization of synaptic properties including paired-pulse facilitation (PPF) and long-term potentiation (LTP).
• Integration of device data into a convolutional neural network (CNN) for handwritten digit recognition.

Main Results:

• The device exhibited excellent synaptic properties: high PPF index (>230%) and long retention time (860 s).
• Demonstrated highly linear long-term potentiation (LTP), attributed to favorable interface energy offset and potential well.
• Achieved 96% accuracy in handwritten digit recognition, maintaining >85% accuracy across a wide humidity range (13-75% RH).

Conclusions:

• The hybrid Cs3Bi2Br9 perovskite and MoS2 synaptic device offers superior performance for neuromorphic computing.
• The device's robustness in varying humidity levels highlights its potential for real-world applications.
• This work paves the way for advanced, stable, and efficient artificial intelligence hardware.