2005
DOI: 10.1016/j.snb.2004.11.008
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Investigating the effect of deposition variation on the performance sensitivity of low-power gas sensors

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Cited by 5 publications
(10 citation statements)
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“…An automated substructuring algorithm was developed, in the current study, to reduce the computational cost of the coupled multi-field RF switch model. The same algorithm was utilized, in a previous study reported by the authors, to solve the coupled electro-thermal FE problem of MEMS gas sensors [ 17 ]. In this study, the reported computational savings were in the range of 59–77 percent.…”
Section: Automated-substructuring Algorithmmentioning
confidence: 99%
“…An automated substructuring algorithm was developed, in the current study, to reduce the computational cost of the coupled multi-field RF switch model. The same algorithm was utilized, in a previous study reported by the authors, to solve the coupled electro-thermal FE problem of MEMS gas sensors [ 17 ]. In this study, the reported computational savings were in the range of 59–77 percent.…”
Section: Automated-substructuring Algorithmmentioning
confidence: 99%
“…In the electrothermal analysis, only the conductivity of Si3N4 and the resistivity of the heater material (Pt/Ti or polysilicon) were found to generate a significant effect on the thermal response of the modeled MEMS-based gas sensor [4]. Therefore, only the variations of these thermal/electrical parameters were considered in the current case.…”
Section: Thermal Fatigue Analysis Of the Mems-based Gas Sensormentioning
confidence: 99%
“…In previous work published by the authors, the effect of varying the thermal and electrical properties and the dimensional tolerance of various thin film layers on the Gas Detection Sensitivity (GDS) performance and the thermal response of the gas sensor was introduced [ 4 ]. This study was conducted by correlating the thermal response of the gas sensor and the experimental GDS presented by Mo et al [ 12 ].…”
Section: Gas Sensor Case Studymentioning
confidence: 99%
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