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An adjustable multistage resistance switching behavior of a photoelectric artificial synaptic device with a ferroelectric diode effect for neuromorphic computing

Xi-Cai Lai, Zhenhua Tang, Junlin Fang, Leyan Feng, Dijie Yao, Li Zhang, Yanping Jiang, Qiu‐Xiang Liu, Xin‐Gui Tang, Yichun Zhou, Jie Shang, Gaokuo Zhong, Ju Gao

2024Materials Horizons32 citationsDOI

Abstract

The ever-growing information data has driven the pursuit of advanced BFCO thin-film synapses, which have multifunctionality, adjustable plasticity, unique photoelectric response, and optical memory effects detected by femtosecond lasers.

Topics & Concepts

Neuromorphic engineeringMaterials scienceNeural facilitationComputer scienceVon Neumann architectureFerroelectricityArtificial neural networkOptoelectronicsElectronic engineeringSynaptic plasticityArtificial intelligenceEngineeringChemistryBiochemistryDielectricOperating systemReceptorAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingTransition Metal Oxide Nanomaterials
An adjustable multistage resistance switching behavior of a photoelectric artificial synaptic device with a ferroelectric diode effect for neuromorphic computing | Litcius