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Numerical Modeling of an Organic Electrochemical Transistor

Laboratory of Physics of Interfaces and Thin Films (LPICM), Ecole Polytechnique, Route de Saclay, 91128 Palaiseau CEDEX, France
Department of Bioelectronics, Ecole Nationale Superieure des Mines CMP-EMSE MOC, 13541 Gardanne, France
Department of Biomedical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3109, USA
Electrical Engineering Division, Department of Engineering, University of Cambridge, 9 JJ Thomson Ave, Cambridge CB3 0FA, UK
Author to whom correspondence should be addressed.
Received: 28 September 2018 / Revised: 21 October 2018 / Accepted: 26 October 2018 / Published: 31 October 2018
We develop a numerical model for the current-voltage characteristics of organic electrochemical transistors (OECTs) based on steady-state Poisson’s, Nernst’s and Nernst–Planck’s equations. The model starts with the doping–dedoping process depicted as a moving front, when the process at the electrolyte–polymer interface and gradually moves across the film. When the polymer reaches its final state, the electrical potential and charge density profiles largely depend on the way the cations behave during the process. One case is when cations are trapped at the polymer site where dedoping occurs. In this case, the moving front stops at a point that depends on the applied voltage; the higher the voltage, the closer the stopping point to the source electrode. Alternatively, when the cations are assumed to move freely in the polymer, the moving front eventually reaches the source electrode in all cases. In this second case, cations tend to accumulate near the source electrode, and most of the polymer is uniformly doped. The variation of the conductivity of the polymer film is then calculated by integrating the density of holes all over the film. Output and transfer curves of the OECT are obtained by integrating the gate voltage-dependent conductivity from source to drain. View Full-Text
Keywords: organic electrochemical transistor; biosensor; model; de-doping; moving front organic electrochemical transistor; biosensor; model; de-doping; moving front
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MDPI and ACS Style

Shirinskaya, A.; Horowitz, G.; Rivnay, J.; Malliaras, G.G.; Bonnassieux, Y. Numerical Modeling of an Organic Electrochemical Transistor. Biosensors 2018, 8, 103.

AMA Style

Shirinskaya A, Horowitz G, Rivnay J, Malliaras GG, Bonnassieux Y. Numerical Modeling of an Organic Electrochemical Transistor. Biosensors. 2018; 8(4):103.

Chicago/Turabian Style

Shirinskaya, Anna, Gilles Horowitz, Jonathan Rivnay, George G. Malliaras, and Yvan Bonnassieux. 2018. "Numerical Modeling of an Organic Electrochemical Transistor" Biosensors 8, no. 4: 103.

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