MODELING AND SIMULATION OF TIN OXIDE-BASED THICK-FILM GAS SENSORS USING MONTE-CARLO TECHNIQUES

 
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1994 (EN)
MODELING AND SIMULATION OF TIN OXIDE-BASED THICK-FILM GAS SENSORS USING MONTE-CARLO TECHNIQUES (EN)

SKAFIDAS, PD (EN)
VLACHOS, DS (EN)
AVARITSIOTIS, JN (EN)

N/A (EN)

An advanced model has been developed to explain the experimental results obtained from tin oxide sensors in the presence of carbon monoxide and/or water vapor. The basic principles of the proposed model applied to the simulation are that (a) there is a reduction of the tin oxide surface by both CO and water vapor, (b) at low temperatures, the oxygen vacancies cannot be refilled, (c) in the presence of both CO and water vapor, formate species are formed which, when they desorb, increase the sensor's resistance, and (d) hydroxyl species increase the electron-availability and thus the sensitivity in CO. Simulation results are in excellent qualitative agreement with the experimental ones. (EN)

journalArticle

Gas Sensor (EN)
Thick Film (EN)
Tin Oxide (EN)
Monte Carlo Technique (EN)
Modelling and Simulation (EN)
SURFACES (EN)

Εθνικό Μετσόβιο Πολυτεχνείο (EL)
National Technical University of Athens (EN)

SENSORS AND ACTUATORS B-CHEMICAL (EN)

1994


ELSEVIER SCIENCE SA LAUSANNE (EN)



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