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Updated: Apr 15, 2026

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

Xinyu Ma1, Zhihao Lei2, Beining Dong1

  • 1School of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia.

ACS Applied Materials & Interfaces
|April 14, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a new lead-free perovskite, Cs2AgSb2I9, for energy-efficient neuromorphic vision systems. This ultralow-power optoelectronic photosynapse mimics biological synapses, enabling advanced computing with high accuracy.

Keywords:
Cs2AgSb2I9artificial synapselead-free perovskiteneuromorphic computingoptoelectronic

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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.