A new corresponding-states model for the calculation of the surface tension of silanes is proposed. It requires, as input properties, the critical point temperature, the minimum temperature at which one data for the surface tension is available, and the corresponding maximum value of this property. It includes two adjustable coefficients, which are calculated by considering the data available at the DIPPR database for 5 silanes. Then the model is applied to predict the surface tension values for other 31 silanes. Averaged absolute deviations below 12% are found for the 36 silanes, being below 5% for 33 of them. Results obtained by using the other five corresponding-states models available in the literature, one of them specifically designed for silanes, are also obtained. That proposed here gives clearly the best overall results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.