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1887

access icon free Investigation of carbon dioxide adsorption effects on graphene nanoribbon conductance

A novel method is employed for the derivation of an analytical model for a carbon-dioxide (CO2) gas sensor based on graphene nanoribbon (GNR) conductance variation. The capacitance gradient created between the channel and the gate of a field effect transistor device is employed as an important property in the interpretation. Gas concentration and its effect on capacitance are incorporated as a modelling platform. In another attempt to model the electrical conductance in GNRs, an intelligent artificial neural network scheme is used in the modelling stage. A satisfactory agreement is presented by comparison between the empirical data extracted from a study conducted by Yoon et al. and the proposed models.

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2015.0094
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