Litcius/Paper detail

An air-stable artificial synapse based on a lead-free double perovskite Cs<sub>2</sub>AgBiBr<sub>6</sub> film for neuromorphic computing

Jie Lao, Wen Xu, Chunli Jiang, Ni Zhong, Bobo Tian, Hechun Lin, Chunhua Luo, Jadranka Travaš-Sejdić, Hui Peng, Chun‐Gang Duan

2021Journal of Materials Chemistry C96 citationsDOI

Abstract

An Ag/PMMA/Cs<sub>2</sub>AgBiBr<sub>6</sub>/ITO device exhibits excellent stability and reproductivity before and after 20 days of storage in an ambient environment. The pattern recognition accuracy reaches 91.3%, which is simulated by using the MNIST dataset.

Topics & Concepts

Neuromorphic engineeringMNIST databaseMaterials sciencePerovskite (structure)Stability (learning theory)SynapseLead (geology)OptoelectronicsArtificial neural networkArtificial intelligenceChemical engineeringComputer scienceMachine learningEngineeringGeologyNeuroscienceGeomorphologyBiologyAdvanced Memory and Neural ComputingPerovskite Materials and ApplicationsConducting polymers and applications