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Resonators act as a frequency reference or to filter specific frequencies. Used in such products as cell phones or computers, resonators will allow the user to take advantage of high bandwidths to process and send greater amounts of data. When used in medical devises such as MRIs they can detect microorganisms and biological molecules. The dilemma that Researcher face when building these micro resonators is that the smaller a resonator gets the less reliable it becomes. Based on his research at Cornell University, the author employs current modeling and fabrication technologies to bring a solution to this seemingly insurmountable problem one step closer. Microresonators are fundamental components in a host of MEMS applications beginning with the auto sector (safety systems, stability and rollover, occupant detection, tire pressure monitoring, biometric sensors for comfort programs), to the telecommunication industry (especially the radio-frequency domain with implementations such as switches, tunable capacitors and mechanical filters implemented in wavelength division multiplexing. Different research and development groups in
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Nicholae O. Lobontiu, Ph.D., is currently a professor at the Technical University of Cluj-Napoca, Romania. He is also a research associate and instructor at the Sibley School of Mechanical and Aerospace Engineering, Cornell University. He has done extensive work in the areas of MEMS, monolithic hinges, and compliant mechanisms. Dr. Lobontiu is the author of two prior books on hinge-based compliant mechanisms and the mechanics of MEMS and has published numerous journal articles and has given several presentations on the subject of nano/micro system modeling and design.
This informative text utilizes very efficient modeling and design methods combined with examples to shed light on the complex problem of reliability enhancement in microresonators.
The highly specialized data needed to put maximum reliability into minimum size:
CONTENT THAT REFLECTS STATE-OF-THE-ART RESEARCH
Design of Microresonators * Lumped-Parameter Design * Distributed-Parameter Design * Transduction Design * Single- and Multiple-Component Microresonators * Mass Detection by Microresonators
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