Universiti Teknologi Malaysia Institutional Repository

Analytical development and optimization of a graphene-solution interface capacitance model

Karimi, Hediyeh and Rahmani, Rasoul and Mashayekhi, Reza and Ranjbari, Leyla and Shirdel, Amir H. and Haghighian, Niloofar and Movahedi, Parisa and Hadiyan, Moein and Ismail, Razali (2014) Analytical development and optimization of a graphene-solution interface capacitance model. Beilstein Journal of Nanotechnology, 5 . pp. 603-609. ISSN 2190-4286

[img]
Preview
PDF
891kB

Official URL: http://dx.doi.org/10.3762/bjnano.5.71

Abstract

Graphene, which as a new carbon material shows great potential for a range of applications because of its exceptional electronic and mechanical properties, becomes a matter of attention in these years. The use of graphene in nanoscale devices plays an important role in achieving more accurate and faster devices. Although there are lots of experimental studies in this area, there is a lack of analytical models. Quantum capacitance as one of the important properties of field effect transistors (FETs) is in our focus. The quantum capacitance of electrolyte-gated transistors (EGFETs) along with a relevant equivalent circuit is suggested in terms of Fermi velocity, carrier density, and fundamental physical quantities. The analytical model is compared with the experimental data and the mean absolute percentage error (MAPE) is calculated to be 11.82. In order to decrease the error, a new function of E composed of α and β parameters is suggested. In another attempt, the ant colony optimization (ACO) algorithm is implemented for optimization and development of an analytical model to obtain a more accurate capacitance model. To further confirm this viewpoint, based on the given results, the accuracy of the optimized model is more than 97% which is in an acceptable range of accuracy

Item Type:Article
Uncontrolled Keywords:analytical modelling, ant colony optimization (ACO), electrolyte-gated transistors (EGFET), graphene, quantum capacitance
Subjects:Q Science
Divisions:Science
ID Code:51849
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 11:53
Last Modified:27 Aug 2018 11:41

Repository Staff Only: item control page