Structural Parameter Analysis of Mg Doped ZnO Nano Rods by Fuzzy Logic Controller

Abstract

ZnO nanorods have been extensively studied owing to their exceptional materials properties as well as outstanding performance in optics, electronics, and photonics. Lately, photocatalytic applications of ZnO nanorods are of greater interest in ecological defense applications. When magnesium is doped with ZnO, the properties of nanorods can be improved for several potential applications in diverse fields of science and technology. In this work, we have studied the effect of parameters like doping concentration and temperature for solution-based growth on the diameter and length of the nanorods grown on the glass substrate. Fuzzy logic controller has been used to calculate precise and accurate results as the fuzzy logic system is based on human-like reasoning. The analysis of the dependence of diameter and length of Mg doped ZnO nanorods on different input parameters is done by fuzzy simulations and the simulated results are then compared with the calculations done using Mamdani’s model. A percentage error that is almost negligible is calculated between the simulated and calculated values.