The materials exploited for the development of gas conductometric sensors are often n-type semiconductors as in the case, e.g., of SnO2. Several materials studied in the last years for this application behave as p-type semiconductors (e.g. CuO, Cr2O3, K- or Ag-Hollandites). In this work the authors present a novel surface state model for p-type, large grained, thick film materials, with a specific reference to K- or Ag-Hollandites, which accounts for the material response to CO in dry and humid N-2, and in dry and humid air. A reliable and compact model of this type is of the utmost utility from several points of view, including the development of measurement systems based on gas sensors. The availability of a simulation tool able to accurately predict the sensor behavior enables the replacement of experimental tuning with simulations, and can significantly speed-up sensor-based system development and guarantee better performance.
Addabbo, T., Bertocci, F., Fort, A., Mugnaini, M., Rocchi, S., Vignoli, V. (2013). Surface State Model for Metal Oxide p-Type Conductometric CO Sensors. In I2MTC 2013 Proceedings (pp.88-92). New York : IEEE [10.1109/I2MTC.2013.6555387].
Surface State Model for Metal Oxide p-Type Conductometric CO Sensors
ADDABBO, TOMMASO;BERTOCCI, FRANCESCO;FORT, ADA;MUGNAINI, MARCO;ROCCHI, SANTINA;VIGNOLI, VALERIO
2013-01-01
Abstract
The materials exploited for the development of gas conductometric sensors are often n-type semiconductors as in the case, e.g., of SnO2. Several materials studied in the last years for this application behave as p-type semiconductors (e.g. CuO, Cr2O3, K- or Ag-Hollandites). In this work the authors present a novel surface state model for p-type, large grained, thick film materials, with a specific reference to K- or Ag-Hollandites, which accounts for the material response to CO in dry and humid N-2, and in dry and humid air. A reliable and compact model of this type is of the utmost utility from several points of view, including the development of measurement systems based on gas sensors. The availability of a simulation tool able to accurately predict the sensor behavior enables the replacement of experimental tuning with simulations, and can significantly speed-up sensor-based system development and guarantee better performance.File | Dimensione | Formato | |
---|---|---|---|
Surface_I2MTC2013.pdf
non disponibili
Tipologia:
Post-print
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
441.2 kB
Formato
Adobe PDF
|
441.2 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/45255
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo