2012 IEEE Sensors 2012
DOI: 10.1109/icsens.2012.6411564
|View full text |Cite
|
Sign up to set email alerts
|

Using nonlinearity to enhance micro/nanosensor performance

Abstract: Resonant microelectromechanical systems are key building blocks for many microsensor applications, including mass detection, inertial detection and RF filters and timing oscillators.Especially in systems with low damping, amplitudes are such that nonlinearities are present. In many applications, these nonlinearities can be significant, and need to be accounted for. In this paper, mass sensing of DNT will be discussed in the context of an application where understanding and cleverly utilizing nonlinearity resul… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
23
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
4
2
1

Relationship

2
5

Authors

Journals

citations
Cited by 14 publications
(23 citation statements)
references
References 13 publications
0
23
0
Order By: Relevance
“…This data has been previously described using the bifurcation sweep tracking method. 19 MIP for CWA Detection. The integrated MIP for CWA detection was designed based on specific hydrogen bonding interactions with DMMP and have been demonstrated for gas phase sensing of the organophosphorus vapors produced by this analyte.…”
Section: Lock-in Amplifiermentioning
confidence: 99%
See 3 more Smart Citations
“…This data has been previously described using the bifurcation sweep tracking method. 19 MIP for CWA Detection. The integrated MIP for CWA detection was designed based on specific hydrogen bonding interactions with DMMP and have been demonstrated for gas phase sensing of the organophosphorus vapors produced by this analyte.…”
Section: Lock-in Amplifiermentioning
confidence: 99%
“…Experimental results demonstrate that noise-squeezing control for bifurcation sensing is a better sensing strategy than the bifurcation sweep method previously described. 19 It uses the statistics of the phase noise as a precursor to the bifurcation event, and the control time is less than 10 ms. The average time for a bifurcation sweep method to track a bifurcation event is 15 to 20 seconds, depending on sweep rate.…”
Section: Mip For Explosives Detection the Integrated Mip For Explosimentioning
confidence: 99%
See 2 more Smart Citations
“…20 As an alternative to using changes in the natural frequency, nonlinear dynamics induced by parametric excitation have led to successful cantilever-based sensor designs. 19,[21][22][23] Under nonlinear operation, the sensor is driven parametrically at twice its natural resonant frequency. 24 This produces a bifurcation, which manifests as a sudden jump in the response amplitude.…”
Section: Introductionmentioning
confidence: 99%