title: Analytical development and optimization of a graphene-solution interface capacitance model.
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.
authors.affiliation: Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia ; Malaysia Japan International Ins. Of Technology, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia.
authors.forename: Hediyeh
authors.initials: H
authors.lastname: Karimi
authors.affiliation: Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia.
authors.forename: Rasoul
authors.initials: R
authors.lastname: Rahmani
authors.affiliation: Faculty of Electrical Engineering, khayyam higher education Institute, 9189747178, Mashhad, Iran.
authors.forename: Reza
authors.initials: R
authors.lastname: Mashayekhi
authors.affiliation: Department of Mathematical Science, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM, Johor Bahru, Malaysia.
authors.forename: Leyla
authors.initials: L
authors.lastname: Ranjbari
authors.affiliation: Department of Chemical Engineering, Åbo Akademi University, 20500 Åbo, Finland.
authors.forename: Amir H
authors.initials: AH
authors.lastname: Shirdel
authors.affiliation: Department of physics and CNISM, University of Genova, Via Dodecaneso 33, 16146 Genova, Italy.
authors.forename: Niloofar
authors.initials: N
authors.lastname: Haghighian
authors.affiliation: Department of Information Technology, University of Turku , 20014 Turku, Finland.
authors.forename: Parisa
authors.initials: P
authors.lastname: Movahedi
authors.affiliation: Department of Electrical and computer engineering, K. N. Toosi University of Technology, Tehran, Iran.
authors.forename: Moein
authors.initials: M
authors.lastname: Hadiyan
authors.affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia.
authors.forename: Razali
authors.initials: R
authors.lastname: Ismail
keywords: analytical modeling; ant colony optimization (ACO); electrolyte-gated transistors (EGFET); graphene; quantum capacitance