Part of the success of the periodic system arose from its predictive power. Given the current status of the periodic system, the data on the chemical space and the computational methods provided by machine learning and artificial intelligent approaches, we are in an excellent position to undertake predictions based on the structure of the periodic system. This kind of approach has been reported for instance for the prediction of enthalpies of formation of several compounds by using the conventional periodic system as input of a neural network model .