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.
Atomic cluster expansion of scalar, vectorial, and t ensorial properties including magnetism and charge transfer
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
physics.chem-ph 1years
2025 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
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.