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The properties of ILs are estimated by group contributions methods and the equilibrium behaviour by empirical correlations.
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The approach combines stochastic optimization and group contribution methods.
All the properties are estimated using group contribution methods.
The thermodynamic properties of ILs were evaluated using the correlations based on group contribution methods.
In addition, the influence of solute data predicted by different group-contribution methods is investigated.
In the modelling, the required EoS parameters were assessed through group contribution methods.
Group contribution methods are used to predict the properties of the formulated molecules.
The methods discussed in this article are (1) group contribution methods, (2) topological indices, and (3) signature descriptors.
The search is combined with available group contribution methods to predict the thermodynamic and environmental behavior of the designed materials.
Group contribution methods (GCM) are used to form molecular property operators and these help in tracking properties.
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