The solubility of a crystalline material can be estimated from the absolute free energy of the solid and the excess solvation free energy. In the earlier work, we presented a general-purpose molecular-dynamics-based methodology enabling solubility predictions of crystalline compounds, yielding accurate estimates of the aqueous solubilities of naphthalene at various pressures and temperatures. In the present work, we investigate a number of prototypical complex materials, including phenanthrene, calcite, and aragonite over a range of temperatures and pressures. Our results provide stronger evidence for the power of the methodology for universal solubility predictions.
Computational methodology for solubility prediction: Application to sparingly soluble organic/inorganic materials
Lunna Li, Tim Totton, Daan Frenkel; Computational methodology for solubility prediction: Application to sparingly soluble organic/inorganic materials. J. Chem. Phys. 7 August 2018; 149 (5): 054102. https://doi.org/10.1063/1.5040366
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