神经形态工程学
可重构性
材料科学
同质结
铁电性
整改
数字光处理
机器视觉
机器人学
光电子学
光电探测器
电子工程
记忆电阻器
GSM演进的增强数据速率
图像传感器
计算机硬件
现场可编程门阵列
光电二极管
预处理器
可重组计算
二极管
图像处理
平面的
计算机体系结构
可编程逻辑器件
发光二极管
嵌入式系统
人工智能
计算机科学
作者
Xiang Zhang,Mengshuang Chi,Shidai Tian,Jizhou Zhang,Te Xu,Aifang Yu,Di Guo,Junyi Zhai
标识
DOI:10.1002/adfm.202520019
摘要
Abstract The pursuit of energy‐efficient, real‐time artificial vision systems relies critically on advancing in‐sensor computing hardware. Conventional p–n junctions—a cornerstone of optoelectronics—lack reconfigurable responses, while emerging reconfigurable alternatives typically require complex multi‐gate control, hindering scalability. Here, an in‐sensor artificial vision system based on a single‐gated, reconfigurable WSe 2 photodetector is presented with an asymmetric ferroelectric architecture. The device enables dynamic rectification tuning, achieving an ultrahigh rectification ratio (2 × 10⁶), near‐ideal diode factor (n = 1.45), and reconfigurable bidirectional photoresponse, all controlled via a single gate. Leveraging this gate‐tunable photoresponse, it demonstrates optoelectronic logic operations and multiple retinal‐inspired in‐sensor image preprocessing functions. By unifying reconfigurability with simple single‐gate control, the design provides a foundation for energy‐efficient, real‐time vision systems in autonomous robotics and edge AI.
科研通智能强力驱动
Strongly Powered by AbleSci AI