Optimizing the identification of mono- and bilayer graphene on multilayer substrates

This work presents an investigation and optimization of the identification of graphene mono- and bilayers on various multilayer substrates. Instead of the mere contrast between substrate and substrate/mono/bilayer systems, weighted color differences are used to obtain optimum visibility. Our approach employs a genetic algorithm that allows finding the most appropriate composition of multilayer systems in terms of materials in use and their respective thicknesses. A major benefit of our approach is the possibility to qualify appropriate layer systems with respect to their manufacturability.