The investigation presented in the previous chapter focused on the quasi-static mechanical characterization of graphene layers, examining the fracture response of different graphene monolayer variants across a wide range of operating temperatures. To provide a more comprehensive understanding of graphene’s mechanical behaviour, this chapter employs regression and classification machine learning (ML) models in conjunction with molecular dynamics (MD) simulations to characterize the transverse strength of bilayer graphene (BLG) configurations.