Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values.
Statistical models have been used to estimate the refractive index of 72 imidazolium-based ionic liquids using the electronic polarisability of their ions as the data for two different mathematical approaches: artificial neural networks, in the form of multi-layer perceptrons, and multiple linear regression models. Although the artificial neural networks and linear models have been able to accomplish this task, the multi-layer perceptron model has been shown to be a more accurate method, thanks to its ability of determining non-linear relationships between different dependent variables. Additionally, it is clear that the multiple linear regression presents a systematic deviation in the estimated refractive index values, which confirms that it is an inappropriate model for this system.
Department of Chemical Engineering, Complutense University of Madrid, E-28040 Madrid, Spain. jstorre@ucm.es.
Pablo
P
Díaz-Rodríguez
John C
JC
Cancilla
Natalia V
NV
Plechkova
Gemma
G
Matute
Kenneth R
KR
Seddon
José S
JS
Torrecilla