Organic Field Effect Transistor Based on Adaptive Neuro-Fuzzy Inference System

Authors Imad Benacer1, Fateh Moulahcene1, Fateh Bouguerra2, Ammar Merazga1

1Institute of Science and Applied Technology (SAT Institute), University Of Oum El Bouaghi, Algeria

2Department of Electronics, University of Batan 2, Batna, Algeria

Issue Volume 15, Year 2023, Number 2
Dates Received 05 December 2022; revised manuscript received 20 April 2023; published online 27 April 2023
Citation Imad Benacer, Fateh Moulahcene, Fateh Bouguerra, Ammar Merazga, J. Nano- Electron. Phys. 15 No 2, 02001 (2023)
PACS Number(s) 85.30.Tv
Keywords Organic Field Effect Transistors (OFET), Poole-Frenkel mechanism, Adaptive neuro-fuzzy inference system (ANFIS), PSPICE (5) .

Organic Field-Effect Transistors (OFETs) attract much interest recently and their proficiency and hence applications are being enhanced increasingly. The device simulation was performed using finite element two dimensional drift-diffusion simulations, the results obtained are compared with experiments data and a good match has been observed between them. This paper introduces a method for modeling the OFET based on Adaptive Network Fuzzy Inference System (ANFIS) approach, the required data for training of ANFIS has been obtained using Atlas 2D device simulator. Finally, we imported the ANFIS model in a circuit simulator like PSPICE, simulation results of the developed ANFIS subcircuit have indicated that the proposed fuzzy logic based approach model is suitable to be incorporated in PSPICE-like tools for OFET circuits simulation.

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