Although our NNP accurately captures a range of static and dynamical properties, many properties of water such as the dielectric constant and vibrational spectra are not yet available. Future work will focus on the modelling of these properties using symmetry-adapted machine learning methods . Other future prospects include clarifying the basis set effect on the computed properties, probing the performance of doublehybrid density functionals, and extending simulations to other important simple liquids such as ammonia and hydrogen sulfide.