While accurate predictions of static clusters are essential, compelling applications for mbGDML would involve molecular simulations. Low energy and force errors are not conclusive of accurate molecular simulations, but experimentally measurable dynamic properties are an alternative and rigorous way to evaluate ML potentials. For example, the radial distribution function (RDF) is a vital bulk property that quantitatively defines liquid structure. Locations and intensities of peaks and valleys represent the solvation shells and liquid ordering. Accurately reproducing reference RDF curves is crucial for a practical size-transferable potential.