神经形态工程学
夜视
计算机科学
材料科学
人工智能
响应时间
稳健性(进化)
机器视觉
铁电性
功率消耗
人工视觉
记忆电阻器
光电子学
计算机视觉
功率(物理)
人工神经网络
电子工程
物理
生物化学
化学
计算机图形学(图像)
量子力学
电介质
工程类
基因
作者
Zhen Zhao,Z. Wang,Jikang Xu,Pengli Zhao,Jianning Wang,Yongrui Wang,Weifeng Zhang,Changliang Li,Hengbo Cui,Jiacheng Wang,Yinxing Zhang,Jiameng Sun,Yifei Pei,Zhenqiang Guo,Yousef Faraj,Jingsheng Chen,Shu‐Shen Li,Xiaobing Yan
标识
DOI:10.1002/adfm.202406666
摘要
Abstract Ferroelectric photoelectric devices show promising applications in artificial vision systems. However, this type of devices used in artificial vision systems exhibits low photoresponsivity and this limited cyclability of photocurrents, which hinders the progress of artificial vision systems. In this study, an artificial vision system is constructed with high photoresponsivity, fast photoresponse speed, and high read/write speed based on the Pd/PbZr 0.4 Ti 0.6 O 3 /La 0.3 Sr 0.7 MnO 3 /LaAlO 3 ferroelectric photomemristor. The high optical response (18.86 nanoamperes) and read/write speeds (50 nanoseconds) of the device significantly improve the robustness and speed of the neuromorphic visual system while reducing power consumption for recognition. The artificial vision system developed in this study provides excellent real‐time image processing capabilities, including edge detection and classification with 100% accuracy for musical key patterns, and it is expected to offer great potential for the development of high‐performance self‐powered artificial vision systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI