A-Site Cation Functional Engineering Enables Lead-free Perovskite Photosynapse for Neuromorphic Visual Computing

Area of Science:

• Materials Science
• Neuroscience
• Computer Engineering

Background:

• Optoelectronic synapses are key for energy-efficient neuromorphic vision.
• Current perovskite synapses rely on toxic lead, posing sustainability issues.

Purpose of the Study:

• To explore lead-free perovskites for sustainable optoelectronic synapses.
• To demonstrate A-site cation engineering for enhanced synaptic function.

Main Methods:

• Synthesized and characterized lead-free Cs2AgSb2I9 perovskite.
• Fabricated optoelectronic photosynapse devices.
• Evaluated synaptic behaviors and energy consumption.
• Implemented devices in artificial neural networks for image recognition.

Main Results:

• Cs2AgSb2I9 exhibits extensive synaptic plasticity and Hebbian-like learning.
• Achieved ultralow energy consumption (6.18 × 10^-14 J/event).
• Artificial neural networks achieved 97.5% accuracy in image recognition.

Conclusions:

• Introduced Cs2AgSb2I9 as a promising lead-free perovskite for neuromorphic computing.
• Demonstrated A-site cation engineering as an effective strategy for sustainable, low-power devices.
• Highlighted potential for advanced, energy-efficient visual computing systems.