skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: MECHANISM OF DISCRETE BREATHER EXCITATION IN DRIVEN MICRO-MECHANICAL CANTILEVER ARRAYS

Authors:
 [1];  [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1235225
Report Number(s):
LA-UR-07-1449
DOE Contract Number:
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: AMERICAN PHYSICAL SOCIETY MARCH 2007 MEETING ; 200703 ; DENVER
Country of Publication:
United States
Language:
English

Citation Formats

MANIADIS, PANAGIOTIS, and FLACH, S. MECHANISM OF DISCRETE BREATHER EXCITATION IN DRIVEN MICRO-MECHANICAL CANTILEVER ARRAYS. United States: N. p., 2007. Web.
MANIADIS, PANAGIOTIS, & FLACH, S. MECHANISM OF DISCRETE BREATHER EXCITATION IN DRIVEN MICRO-MECHANICAL CANTILEVER ARRAYS. United States.
MANIADIS, PANAGIOTIS, and FLACH, S. Mon . "MECHANISM OF DISCRETE BREATHER EXCITATION IN DRIVEN MICRO-MECHANICAL CANTILEVER ARRAYS". United States. doi:. https://www.osti.gov/servlets/purl/1235225.
@article{osti_1235225,
title = {MECHANISM OF DISCRETE BREATHER EXCITATION IN DRIVEN MICRO-MECHANICAL CANTILEVER ARRAYS},
author = {MANIADIS, PANAGIOTIS and FLACH, S.},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 05 00:00:00 EST 2007},
month = {Mon Mar 05 00:00:00 EST 2007}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • We develop a model-based processor (MBP) for a micro-cantilever array sensor to detect target species in solution. After discussing the generalized framework for this problem, we develop the specific model used in this study. We perform a proof-of-concept experiment, fit the model parameters to the measured data and use them to develop a Gauss-Markov simulation. We then investigate two cases of interest: (1) averaged deflection data, and (2) multi-channel data. In both cases the evaluation proceeds by first performing a model-based parameter estimation to extract the model parameters, next performing a Gauss-Markov simulation, designing the optimal MBP and finally applyingmore » it to measured experimental data. The simulation is used to evaluate the performance of the MBP in the multi-channel case and compare it to a ''smoother'' (''averager'') typically used in this application. It was shown that the MBP not only provides a significant gain ({approx} 80dB) in signal-to-noise ratio (SNR), but also consistently outperforms the smoother by 40-60 dB. Finally, we apply the processor to the smoothed experimental data and demonstrate its capability for chemical detection. The MBP performs quite well, though it includes a correctable systematic bias error. The project's primary accomplishment was the successful application of model-based processing to signals from micro-cantilever arrays: 40-60 dB improvement vs. the smoother algorithm was demonstrated. This result was achieved through the development of appropriate mathematical descriptions for the chemical and mechanical phenomena, and incorporation of these descriptions directly into the model-based signal processor. A significant challenge was the development of the framework which would maximize the usefulness of the signal processing algorithms while ensuring the accuracy of the mathematical description of the chemical-mechanical signal. Experimentally, the difficulty was to identify and characterize the non-target signals present in the measurement system. In the future, these signals will limit the ability of the sensor to detect very small quantities of chemicals generated by nuclear processing. In this project, it became necessary to make use of a model system, mercaptoethanol, which created a large, reproducible signal that could be readily analyzed with the model-based processor. Further, redundant cantilevers were examined exclusively: all levers were nominally identically functionalized, and no ''control'' levers were used that did not react to the mercaptoethanol signal. To demonstrate the full utility of the MBP for chemical sensing, the logical and necessary next steps are (1) verify the physical models used in this study for a variety of solvents and target molecules (this data has already been obtained as part of this study) (2) make use of control levers, and (3) extend the experimental library to include low concentrations of chemical targets of practical interest for sensing nuclear processes.« less
  • A robust, compact optical measurement unit for motion measurement in micro-cantilever arrays enables development of portable micro-cantilever sensors. This paper reports on an optical beam deflection-based system to measure the deflection of micro-cantilevers in an array that employs a single laser source, a single detector, and a resonating reflector to scan the measurement laser across the array. A strategy is also proposed to extract the deflection of individual cantilevers from the acquired data. The proposed system and measurement strategy are experimentally evaluated and demonstrated to measure motion of multiple cantilevers in an array.
  • A highly selective, coherent impact ionization mechanism is proposed for the efficient generation of inner-shell population inversion in laser-driven plasmas. The theoretical analysis is consistent with observed L-shell (2p{l_arrow}3d) emission spectra from laser-excited Xe clusters.
  • No abstract prepared.
  • Abstract not provided.