Browse by author
Lookup NU author(s): Sandip Roy,
Professor Nick Wright,
Dr Alton Horsfall,
Dr Chris O'Malley
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
For the first time SiC-based gas sensor arrays have been demonstrated, which are capable of discriminating gas species under harsh environments. The structures utilise either a TiO2 or HfO2 dielectric layer and a Pt or Pd catalytic contact. We show that the defects in the dielectric dominate the response to hydrogen and oxygen, resulting in array behaviour, without the need for large numbers of catalytic metals. Simple multiple linear regression techniques can be used with the array to provide a real time prediction of the gas contents of a mixture. © 2013 IEEE.
Author(s): Roy SK, Furnival BJD, Wood NG, Vassilevski KV, Wright NG, Horsfall AB, O'Malley CJ
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2013 IEEE SENSORS
Year of Conference: 2013
Online publication date: 19/12/2013
Publisher: IEEE Computer Society
Library holdings: Search Newcastle University Library for this item