Discovery and classification of motion nanodevices

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Title: Discovery and classification of motion nanodevices
Author: Lyshevski, Sergey
Abstract: Enabling technologies have been developed to synthesize and fabricate organic, inorganic and hybrid nanostructures. The fundamental theory has been further expanded to design, model, simulate and analyze simple nanoelectromechanical systems and devices. There are distinguishing features between nanoscale electromechanical systems, devices, and structures. In general, systems integrate nanodevices and nanostructures. However, using commonly used and accepted notations, we assume that the motion nanodevice is a nanoelectromechanical system (NEMS). A spectrum of fundamental problems primarily associated with devising and discovering novel NEMS remains. These nanodevices can be classified as electronic and motion (rotational and translational transducers - actuators and sensors) nanoscale devices. This paper concentrates on the motion nanodevices. The key focus areas are synthesis, classification and analysis. We emphasize classification and synthesis paradigms with ultimate goal of classifying existing and discovering novel NEMS by performing electromagnetic-geometry synthesis. It is illustrated that NEMS intelligent databases can be developed within evolutionary-based CAD. The synthesis and classification paradigm reported directly leverages fundamental physics laws and high-fidelity modeling, allowing the designer to attain physical and behavioral (steady-state and transient) data-intensive analysis, heterogeneous simulation, optimization, performance assessment, outcome prediction, etc. We focus our attention on rotational and translational nanodevices which can be controlled by driving/sensing controlling/processing nanoelectronics. The examined nanodevices can be considered as NEMS as the electromagnetic-based nanomachines integrate motion and radiating energy nanodevices as well as nanostructures.
Description: Copyright 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Record URI: http://hdl.handle.net/1850/8924
Date: 2002-08

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