A group contribution method to predict the thermal decomposition temperature of ionic liquids

► 120 ionic liquids were used to obtain the contributions for 27 cation groups and 31 anion groups. ► Optimum parameters were obtained by a genetic algorithm-based on multivariate linear regression. ► The results show a deviation of 4% in the prediction of the thermal decomposition temperature of several ionic liquids.