Bifacial InterfaceEngineering of Perovskite Memristorsfor High-Performance Optoelectronic Synapses and Neuromorphic VisionSystems

Engineering notes

The resulting memristor devices exhibit excellent cycling stability, superior uniformity, multiple distinguishable resistance states, and high linearity under both electrical and optical stimulation, enabling reliable emulation of key synaptic plasticity behaviors such as excitatory postsynaptic current (EPSC), short-term memory (STM) to long-term memory (LTM) transition, paired-pulse facilitation (PPF), and learning-forgetting-relearning processes.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Abstract Conventional complementary metal-oxide-semiconductor (CMOS)-based intelligent visual systems suffer from inherent bottlenecks of high energy consumption and latency, while perovskite memristors are constrained by critical issues including defect-induced instability, unimodal modulation, and random ion migration, hindering their practical deployment. Herein, a universal bifacial engineering strategy is proposed to address these challenges, featuring CF3–PEAI modification at both the prenucleation and postgrowth interfaces of the perovskite layer. The resulting memristor devices exhibit excellent cycling stability, superior uniformity, multiple distinguishable resistance states, and high linearity under both electrical and optical stimulation, enabling reliable emulation of key synaptic plasticity behaviors such as excitatory postsynaptic current (EPSC), short-term memory (STM) to long-term memory (LTM) transition, paired-pulse facilitation (PPF), and learning-forgetting-relearning processes. Furthermore, the device enables high precision dynamic path correction in a feedback controlled trajectory tracking system. The practical feasibility of the device in real world object detection is further verified via digital conductance mapping to YOLOv8 on the BDD100 K data set. This work establishes an effective bifacial engineering approach for high performance perovskite optoelectronic synapses, paving the way for their wide application in high-efficiency neuromorphic visual systems such as autonomous driving, robotic navigation, and smart surveillance.

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