Ultrafast multi-wavelength photosensitive memristive synapses based on (111)-oriented FAPbI3 for fusion neuromorphic visual perception
Abstract
Neuromorphic visual perception requires photosensitive memristive synapses that combine ultrafast response, wavelength selectivity, and long-term operational stability. Here, we report photosensitive memristive synapses based on preferentially (111)-oriented FAPbI3 films, which exhibit robust structural stability, suppressed defect density, and extended carrier lifetime. Photosensitive memristive devices fabricated with these films demonstrate reliable resistive switching under electrical modulation and an ultrafast optical response down to ∼20 ns while emulating essential synaptic functions, including excitatory postsynaptic current, paired-pulse facilitation, and reversible long-term potentiation and depression. Benefiting from intrinsic wavelength-dependent synaptic responses, the devices enable wavelength-encoded optical OR logic operations and encrypted dual-channel optical communication, realizing direct neuromorphic processing of spectrally multiplexed optical signals. At the system level, multi-band fusion perception based on intrinsic multi-wavelength synaptic integration outperforms wavelength-selective perception in both classification accuracy and convergence speed. These results establish (111)-oriented FAPbI3 photosensitive memristive synapses as a robust and scalable hardware platform for ultrafast, stable, and spectrally integrated neuromorphic visual perception.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (9)
Jinjie Wen
Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 050031,
Yuchun Li
Ziwei Yue
Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 052161,
Pengyu Hao
Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 050031,
Xiaojuan She
Lingzhi Tang
Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 052161,
Yingke Ren
College of Science Hebei University of Science and Technology Shijiazhuang 050018 P.R. China
Jing Chen
Jingjuan Wang
New Cornerstone Science Laboratory, State Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, and National & Local Joint Engineering Research Center of Preparation Technology of Nanomaterials, College of Chemistry and Chemical Engineering