High-quality multilayer graphene on insulators via metal catalyst alloying in layer exchange with Bayesian optimization

Abstract

The use of alloy catalysts in metal-induced layer exchange synthesis, supported by machine learning techniques, has been demonstrated to contribute to the improvement of multilayer graphene quality directly formed on a glass substrate. This advancement facilitates low-temperature synthesis and broadens the potential applications of multilayer graphene in next-generation devices.