Machine-learning accelerated MD simulations show intercalated water induces vSFG signal cancellation for monolayer graphene on hydrophilic substrates, explaining observed wettability differences versus multilayer systems.
in Fundamental properties of graphene (eds Zhu, H., Xu, Z., Xie, D
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Water structuring at stacked graphene interfaces unveiled by machine-learning molecular dynamics
Machine-learning accelerated MD simulations show intercalated water induces vSFG signal cancellation for monolayer graphene on hydrophilic substrates, explaining observed wettability differences versus multilayer systems.