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Nanoelectronic single‐electron transistor circuits and architectures
Author(s) -
Gerousis C. P.,
Goodnick S. M.,
Porod W.
Publication year - 2004
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.284
Subject(s) - computer science , electronic circuit , node (physics) , cmos , electronic engineering , transistor , inverter , topology (electrical circuits) , nanodevice , logic gate , digital electronics , electrical engineering , algorithm , engineering , voltage , materials science , structural engineering , nanotechnology
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. Copyright © 2004 John Wiley & Sons, Ltd.