Transistors are the basic building blocks of any circuit. As the conventional metal oxide field-effect transistor (MOSFET) is scaled down, quantum mechanical effects become dominant. It is required to have accurate quantum transport simulators to explore the essential device physics as a design aid. However, due to the complexity of the analysis, it is very important to simulate the quantum mechanical model with high speed and accuracy. In this paper, the modeling of Transistor based on an adaptive neuro-fuzzy inference system (ANFIS) is presented whose main strength are that they are universal approximators with the ability to solicit interpretable IF-THEN rules. The ANFIS model reduces the computational time while keeping the accuracy of physics-based models. Finally, the ANFIS model is imported into the circuit simulator software as a sub circuit. The results have shown that the compact model based on ANFIS is an efficient tool for the simulation of nanoscale circuits.
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