Generalised deep-learning workflow for the prediction of hydration layers over surfaces

•Deep learning networks are suitable for predicting hydration layers over surfaces.•The element-agnostic descriptor of a surface generalizes the network.•An energy network suitably predicts the prediction accuracy of the network.•A workflow comprising deep-learning and energy networks gives reliable predictions.