An artificial neural network to calculate pure ionic liquid densities without the need for any experimental data

- Densities of ionic liquids were estimated by a feed-forward artificial neural network.
- This model does not need any experimental data or equations as input variables.
- Input parameters are system condition, molecular weight and structure of ionic liquid.
- The average absolute error for estimation of density of pure ionic liquids is 0.014%.