To construct a correlation matrix, you first need a dataset with multiple variables. Each variable could represent a different property of a nanomaterial, such as conductivity, tensile strength, or particle size. Using statistical software or programming languages like Python or R, you can calculate the correlation coefficients between all pairs of variables.