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Nanoelectronic single-electron transistor circuits and architectures

机译:纳米电子单电子晶体管电路和架构

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Single-electron tunneling (SET) devices have been proposed as one promising candidate for future nanoelectronic integrated circuits. SETs have appealing properties for implementing ultra-dense and complex signal and image processing systems. The potential for very dense arrays of SET transistors makes them attractive for the realization of cellular non-linear network (CNN) circuits, where locally-connected cells may alleviate the interconnect problem facing conventional architectures as they scale. Herein, we investigate the use of nanoelectronic structures in CMOS-type digital circuits and in analog CNN architectures for potential application in future high-density and low-power CMOS-nanodevice hybrid circuits. We first present an overview of the operation of the SET transistor and simulation of SET circuits. We then discuss a programmable CMOS-type SET logic circuit based on a summing-node-inverter structure, followed by simple linear and 2-d SET-CNN architectures using the SET inverter topology as the basis for the non-linear transfer characteristics required of individual CNN elements. The simple SET-CNN cell acts as a summing node that is capacitively coupled to the inputs and outputs of nearest neighbour cells. Monte Carlo simulation results are then used to show CNN-like behaviour in attempting to realize different functionality such as shadowing, pattern forming, and horizontal-line detection. Within the context of these simple architectures, we discuss the speed and signal delay in SET non-linear circuits, and calculate the approximate power dissipation in a SET network.
机译:已经提出单电子隧穿(SET)器件作为未来纳米电子集成电路的一种有希望的候选者。 SET具有用于实现超密集,复杂的信号和图像处理系统的吸引人的特性。 SET晶体管非常密集的阵列的潜力使它们对于蜂窝非线性网络(CNN)电路的实现具有吸引力,在这种情况下,本地连接的单元可以缓解传统体系结构扩展时面临的互连问题。本文中,我们研究了纳米电子结构在CMOS型数字电路和模拟CNN架构中的应用,以在未来的高密度和低功耗CMOS纳米器件混合电路中潜在应用。我们首先介绍SET晶体管的操作和SET电路的仿真。然后,我们讨论基于求和节点-反相器结构的可编程CMOS型SET逻辑电路,然后讨论简单的线性和2-d SET-CNN体系结构,并使用SET反相器拓扑作为所需的非线性传输特性的基础各个CNN元素。简单的SET-CNN单元充当求和节点,该求和节点电容性地耦合到最近邻单元的输入和输出。然后,将蒙特卡罗模拟结果用于显示类似CNN的行为,以尝试实现不同的功能,例如阴影,图案形成和水平线检测。在这些简单架构的背景下,我们讨论了SET非线性电路的速度和信号延迟,并计算了SET网络中的近似功耗。

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