神经形态工程学
记忆电阻器
晶体管
纳米线
冯·诺依曼建筑
材料科学
纳米技术
计算机科学
电子工程
光电子学
电气工程
工程类
人工神经网络
人工智能
电压
操作系统
作者
Alain C. Diebold,Nathaniel C. Cady
摘要
As scaling becomes more challenging, new approaches to transistor design, new materials, and new devices are all being explored. Advanced transistor designs such as vertically stacked nanowire and nanosheet FETs (NW/NS FETs) provide a pathway to sub-10 nm devices. Ferroelectric High κ enables extension of FinFET and NW/NS FETs as well as providing a potential dielectric for memristive devices, including RRAM and ferroelectric tunnel junctions. NW/NS FETs provide a significant challenge for both processing and process control due to the geometries associated with their 3D structure. Increasing computational power will ultimately require more than scaling, however. Neuromorphic (brain like) computing and non-Von Neumann computing architectures are now being explored as alternative options for increasing computation capability. To develop efficient neuromorphic and non-Von Neumann hardware, new devices and materials integration strategies are required. This paper provides an overview of advanced NW/NS transistors and new memristor devices and materials and their characterization and metrology.
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