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.
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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.