Our work also provides the first concise DFT-MD -level dataset for interfacial metal-water thermodynamics, which will be highly valuable for experimental, theoretical, and computational developments. First, we anticipate that our study motivates the experimental determination of solid-liquid thermodynamics for a range of systems as the thermodynamics can aid the development and design of, e.g., electrochemical and electrocatalytic interfaces where the surface wettability is of primary interest. Second, the correlations identified between thermodynamics, binding energies, atomic structure, slow water dynamics, and entropy will hopefully aid the development of improved implicit solvent models at different levels of theory. Finally, the results from this work can be directly used to benchmark and parameterize classical explicit and implicit solvent models often applied to study solvated interfaces. In particular, the obtained thermodynamic and structural data can be used for constructing surface-specific implicit solvent models to overcome the known issues of using small molecule data to parameterize dielectric continuum models for metallic interfaces.