Parameter Extraction Method Using Hybrid Artificial Bee Colony Algorithm for an OFET Compact Model

Abstract

Research on organic field effect transistors (OFETs) have been dramatically increased in the last decade, considering their lightweight and flexible structure as well as their practical and low-cost production. Building compact models and parameter extraction methods have also a critical importance in extensively using OFETs in electronic systems. In this paper, we propose a hybrid artificial bee colony algorithm as a parameter extraction tool and we compare it with purely mathematical and genetic algorithm-based parameter extraction methods. We apply these methods to a well-known OFET compact model for two different transistors, both having pentacene as organic semiconductor. First transistor (T1) is available in literature and the other one (T2) is fabricated in our laboratory. The proposed approach shows a good agreement with the experimental data of T1 with normalized RMS error (NRMSE) of 0.26%. However, it is 1.83% for T2 due to lack of measurements. If the shape of the data was same, the parameter extraction approaches would be expected to perform more successfully for both OFETs as well. Results are tabulated and performances of the methods are compared in the paper.