Open AccessInvestigation of carbon dioxide adsorption effects on graphene nanoribbon conductance
Author(s) -
Akbari E.,
Buntat Z.,
Enzevaee A.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.0094
Subject(s) - graphene , conductance , materials science , capacitance , carbon dioxide , adsorption , field effect transistor , electrical resistance and conductance , transistor , artificial neural network , nanotechnology , optoelectronics , biological system , electrode , computer science , condensed matter physics , voltage , chemistry , composite material , electrical engineering , physics , engineering , artificial intelligence , organic chemistry , biology
A novel method is employed for the derivation of an analytical model for a carbon‐dioxide (CO 2 ) 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.