@inproceedings{6334257bb76048418e9b9cf09d0aa855,
title = "Modeling H2 adsorption processes at SnO2 nanowire surfaces parameter estimation and simulation",
abstract = "Metal-oxide gas sensors are advantageous for various purposes due to their physical and chemical as well as electrical properties. However, a lack of selectivity remains the central issue in this field. A quantitative understanding of the processes at the semiconductor surface is crucial to overcome these difficulties. In this work, we determine numerical values for the parameters governing the interaction of H2 with the device to obtain quantitative information regarding the influence of the atmosphere on the sensor. With the computed values, simulations regarding the surface charge can be performed to understand the sensor behavior under different ambient conditions.",
keywords = "Inverse modeling, Modeling, Nanowire gas sensors, Parameter estimation, Selectivity, Simulation",
author = "G. Tulzer and S. Baumgartner and E. Brunet and Mutinati, {G. C.} and S. Steinhauer and A. K{\"o}ck and C. Heitzinger",
year = "2013",
month = may,
day = "27",
language = "English (US)",
isbn = "9789898565341",
series = "BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices",
pages = "265--268",
booktitle = "BIODEVICES 2013 - Proceedings of the International Conference on Biomedical Electronics and Devices",
note = "International Conference on Biomedical Electronics and Devices, BIODEVICES 2013 ; Conference date: 11-02-2013 Through 14-02-2013",
}