The industrial pollutants in water bodies tend to unsuitable for living organisms and irrigation uses. Water contamination is exaggerating at regular pace and the universe is holding carcinogenic agents. Therefore, there is a necessity of immediate action to generate a potential and efficient technology for water management. By means of this, quantum dots (QDs) have emerged as an effective probe for the removal process. This review discusses the methods for removing and degrading the coloured components, pesticides, pathogens from waste water and contaminants removal ability of QDs.
The main objective of this research is to present the impact of several doping and geometrical parameters on the performance of the GaN/AlGaN quantum dot-based light-emitting diode by employing numerical 3D simulations. The sensitivity coefficients of the parameters have been utilised
to rank them. Four significant performance parameters were used in this research, such as, responsivity optical gain, internal quantum efficiency, and input power. The quantum dot’s bottom radius is observed to be the most relevant geometrical parameter for optical gain and internal
quantum efficiency. Furthermore, the nanocolumn radius is the most important parameter for quantum dot responsivity and input power. The Nanocolumn radius is found to be the most critical parameter, based on the overall ranking.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.