计算机科学
计算
晶体管
神经形态工程学
材料科学
仿真
光电效应
渲染(计算机图形)
光电子学
电气工程
人工智能
人工神经网络
电压
工程类
算法
经济增长
经济
作者
Qiyu Yang,Zheng‐Dong Luo,Dawei Zhang,Mingwen Zhang,Xuetao Gan,Jan Seidel,Yan Liu,Yue Hao,Genquan Han
标识
DOI:10.1002/adfm.202207290
摘要
Abstract In‐sensor computing with visual information, which can integrate photo‐sensing, data storage, and computation functions within the same physical element, has promised a fundamentally different architecture for future machine vision technology with extreme energy and time efficiency. The elementary devices required to fulfil the goal of such a new sensory computation scheme would demand a bold functional variation to the existing sensor and data processing hardware. Here, a van der Waals (vdW) heterostructure‐based optoelectronic transistor that can act as an integrated photoreceptor, memory, and computation unit by exploiting its own physical attributes is demonstrated. It is found that diverse photoelectric control of device conductance can lead to versatile photoresponse characteristics, including memristive behaviors, retention‐, polarity‐ and strength‐tunable photoconductance, photoelectric‐coupling effect, etc. Exploiting the photoelectric‐coupling effect, reconfigurable and nonvolatile optoelectronic logic functions are realized in this device, featuring a logic‐in‐sensor unit. With the same device, both short‐ and long‐term synaptic plasticity can be faithfully emulated, rendering it an optoelectronic synaptic transistor. Moreover, a psychologic human memory model is implemented with the device, showing the emulation of memorization and learning processes. This prototypical demonstration provides a promising hardware system for visual information in‐sensor computing capable of addressing complex computation tasks.
科研通智能强力驱动
Strongly Powered by AbleSci AI