材料科学
碳纳米管
晶体管
纳米技术
碳纳米管场效应晶体管
光电子学
场效应晶体管
电气工程
工程类
电压
作者
Shuang Liu,Heyi Huang,Yanqing Li,Zhaohao Zhang,Yadong Zhang,Yijun Li,Li Wang,Qingzhu Zhang,Jiali Huo,Jiaxin Yao,Gaobo Xu,Er‐Jia Guo,Song Qiu,Jianshi Tang,Huaxiang Yin
标识
DOI:10.1021/acsami.4c10991
摘要
Advances in artificial general intelligence (AGI) necessitate the integration of diverse functionalities to address complex tasks. Carbon nanotubes (CNTs), with their unique physical properties, have broad applications in emerging research fields, providing a foundation for next-generation devices that could overcome the limits of Moore's Law. This work demonstrates a novel intelligent device that integrates five functions─sensors, memory, neuromorphic computing, logic, and communication─using CNT field-effect transistors (CNFETs) compatible with CMOS processes. Through passivation and annealing techniques, we have significantly enhanced the optoelectronic performance of CNFETs, leading to the development of multifunctional optoelectronic synaptic transistors. These optimized CNFETs enable dual-mode weight-tunable synaptic functions, including long-term plasticity and multilevel storage. Additionally, a CNT-based neural network has achieved high recognition accuracy on the MNIST data set, showcasing the potential of in-memory computing. This research also innovates by integrating logic functions with optoelectronic communication capabilities, paving the way for next-generation intelligent computing and communication integrated systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI