Light‐adaptive Mimicking Retina with In Situ Image Memorization via Resistive Switching Photomemristor Arrays
Zijun Hu, Ying Hu, Li Su, Xiaosheng Fang
- 发表年份
- 2024
- 引用次数
- 16
摘要
Abstract Artificial visual memory systems have been of particular interest since the development of machine vision and bionic robots. Ordinarily, the conventional system architecture requires the complex integration of two functional modules, a photo‐sensor and a memory device, which greatly limits the operating efficiency and increases the extra energy consumption. Nonetheless, other simply configured optoelectronics memory devices generally face challenges of adaption in complex light environments. Here, a resistive switching (RS) perovskite‐based photomemristor is presented that mimics the retina function. The dual function of light perception and in situ storage are both achieved. In the dark condition, it exhibits impressive memory performance with a high ON/OFF ratio of 10 4 , a long retention time of over 10 4 s, and a low operating voltage of 0.38 V. With illumination, it shows self‐powered, broadband photo‐detecting characteristics with responsivity of 70 mA W −1 and detectivity of 7.5 × 10 10 Jones. More importantly, benefiting from the material dual‐phase configuration, the highly steady photo‐adjusted RS windows are achieved. Its light‐adaptive memory application in dynamic environments is further demonstrated using the mimicking retina for a machine eye. This work can provide a strategy for enhanced RS photomemristor and its application in changing and varied scenarios.
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