2015
DOI: 10.1063/1.4916728
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A review on nanomechanical resonators and their applications in sensors and molecular transportation

Abstract: Nanotechnology has opened a new area in science and engineering, leading to the development of novel nano-electromechanical systems such as nanoresonators with ultra-high resonant frequencies. The ultra-high-frequency resonators facilitate wide-ranging applications such as ultra-high sensitive sensing, molecular transportation, molecular separation, high-frequency signal processing, and biological imaging. This paper reviews recent studies on dynamic characteristics of nanoresonators. A variety of theoretical … Show more

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Cited by 114 publications
(68 citation statements)
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References 212 publications
(321 reference statements)
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“…These simulations enable comparable investigations of dynamics of nano materials to experiments, and introduce detailed information on interatomic interactions of nano materials and molecular complexes [3].…”
Section: Introductionmentioning
confidence: 99%
“…These simulations enable comparable investigations of dynamics of nano materials to experiments, and introduce detailed information on interatomic interactions of nano materials and molecular complexes [3].…”
Section: Introductionmentioning
confidence: 99%
“…Micro-and nano-resonators have numerous important applications including navigation, sensing, chemical detection, molecular separation, and biological imaging [1]. The performance of resonators is typically measured by the quality factor, Q, which gives the ratio of the energy stored to the energy dissipated per cycle in the resonator during operation [2].…”
Section: Introductionmentioning
confidence: 99%
“…MEMS pressure sensors are used in the development of capacitive touch sensing applications for touchscreens. c) NEMS The ultra-high-frequency nano-resonators can be used in ultra-high sensitive sensing, molecular transportation, molecular separation, high-frequency signal processing, and biological imaging [14]. NEMS-based sensors are popular in medical diagnostic applications [62].…”
Section: Technologymentioning
confidence: 99%