SUMMARYSingle-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 locallyconnected 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 ÿrst 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-nodeinverter 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 di erent 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.

We investigate the use of nanoelectronic structures in cellular non‐linear network (CNN) architectures, for potential application in future high‐density and low‐power CMOS‐nanodevice hybrid circuits. We first investigate compact models for simulation of single‐electron tunnelling (SET) transistors appropriate for use in coupled SET–CMOS circuits. We then discuss simple CNN linear architectures using a SET inverter topology as the basis for the non‐linear transfer characteristic of individual cells. This basic SET CNN cell acts as a summing node, which 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 a connected component detector and shadowing. Copyright © 2000 John Wiley & Sons, Ltd.

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PACS: 85.35.GvWe investigate the use of nanoelectronic structures in cellular non-linear network (CNN) architectures, for potential application in future high density and low power CMOS-nanodevice hybrid circuits. We first review the operation of the single-electron tunneling (SET) transistor to be used in analog processing arrays for image processing applications. We then discuss simple CNN linear architectures using a SET inverter topology as the basis for the non-linear transfer characteristics for individual cells. The basic SET-CNN cell acts as a summing node that is capacitively coupled to the inputs and outputs of nearest neighbor cells. Monte Carlo simulation results are then used to show CNN-like behavior in attempting to realize different functionality such as shadowing. Finally, we discuss the speed and signal delay in SET networks, and estimate the power consumption of the SET-CNN and compare it to a state-of-the-art CMOS processor.